Dual Image Research Articles

An improved dual image separable reversible data hiding algorithm for encrypted HAMBTC compressed images

An improved dual image separable reversible data hiding algorithm for encrypted HAMBTC compressed images

Z세대의 명란 소비 특성에 관한 연구:표적집단면접(FGI)을 중심으로

The purpose of this study is to analyze the consumption characteristics of cod roe in Generation Z. In this study, a total of 50 Generation Z people were interviewed by using focus group interview, which is a qualitative research method. In this focus group interview(FGI), it was found that Generation Z is a generation with very little experience in consuming salted pollock roe at home since childhood, and has a very low level of familiarity with it. In this study, it was found that Generation Z formed a dual image of salted pollock roe, the one is traditional salted pollock roe type which is eaten by middle-aged and older people and the other one is dishes containing salted pollock roe(pollock roe pasta etc) eaten by the younger generation in their 20s and 30s. It was analyzed that they had a negative attitude and low purchase intention for the traditional type salted pollcok roe on overall attributes such as appearance, taste and smell. But they positively evaluated the attributes of dishes containing salted pollock roe and had a high purchase intention. The factors impeding the consumption of pollack roe were the repulsive appearance, high price, salty taste and fishy smell, lack of experience in eating, lack of accessibility, limited cooking methods, and lack of awareness. These factors can be seen as a result of symbolizing that the traditional salted pollock roe has characteristics that are not suitable for Generation Z. In this study, based on these results, a new product change direction of salted pollock roe was suggested.

Differential diagnostic value of periampullary mass: A nomogram established by random forest based on clinical characteristics and contrast‐enhanced ultrasound

To develop a nomogram model for distinguishing benign from malignant ampullary lesions more intuitive and accurate. A total of 124 patients with periampullary lesions from January 2016 to June 2020 were enrolled in this retrospective study. Their clinical information, ultrasound (US), dual contrast-enhanced ultrasound (DCEUS) and MRI image features were used for research. Twenty features were collected in our study. Random forest was used to select the first five most important indicators to construct the prediction model. Patients' age, common bile duct (CBD) diameter, the shape, vascularity, and boundary of lesion, lesion size with or without enlarged after CEUS, the enhancement patterns of arterial phase, the washout patterns of venous phase, CEUS diagnosis, and MRI diagnosis were statistically significant (p < 0.05). After screening for statistically significant indicators by random forest, the first five most important indicators were age, CBD diameter, the enhancement patterns of arterial phase, the washout patterns of venous phase, lesion size with or without enlarged after CEUS, which were used to construct nomogram. The area under curves (AUC) and 95% confidence intervals (CI) for nomogram, MRI + MRCP + DCEUS, DCEUS, MRI + MRCP were 0.98(0.94-1.00), 0.91(0.84-0.97), 0.89(0.80-0.98), 0.68(0.60-0.77), respectively. The sensitivity and specificity were 100.00% and 84.62% for nomogram, 88.29% and 92.31% for MRI + MRCP+DCEUS, 86.49% and 92.31% for DCEUS, 51.35%, and 100.00% for MRI + MRCP. We combined clinical indicators, gray-scale ultrasound characteristics, and CEUS characteristics to build the nomogram, which can be intuitively and accurately used for preoperative malignant prediction of ampullary lesion patients, worthy of clinical generalizability and application.

Underwater image enhancement based on color restoration and dual image wavelet fusion

Due to the severe light absorption and scattering, underwater images often exhibit problems such as low contrast, detail blurring, color attenuation, and low illumination. To address these issues, this paper presents a two-step strategy based on color restoration and image fusion by combining deep learning and conventional image enhancement technologies to improve the visual performance of underwater images. First, an adaptive color compensation method is proposed to make up for the loss of severely attenuated channels. Color restoration is further implemented to estimate the illuminant color cast caused by the selective attenuation of light. Since the underwater image after color restoration still suffers from scattering and blurring, an effective method based on dual image wavelet fusion (DIWF) and Generative Adversarial Network (GAN) is designed to further enhance the edge details and improve the contrast of the color restored image. Experiments demonstrate that the proposed method significantly outperforms several state-of-the-arts in both qualitative and quantitative qualities. The approach can achieve better performance of color restoration, blur removal, and low illumination enhancement.

Underwater image enhancement based on color correction and complementary dual image multi-scale fusion.

Underwater images often suffer from color cast, poor contrast, and detail loss owing to the scattering and absorption of light in water. To solve these problems, we propose what we believe to be a novel underwater image enhancement method based on color correction and dual image multi-scale fusion. We first use the color correction method to solve the problem of color cast, and we compensate the other two-color channels with the highest mean value color channel; further, all the color channels are dynamically stretched. Next, a complementary dual image multi-scale fusion method is used to improve the contrast, pairs of complementary adaptive gamma correction with weighted distribution enhanced images are used as the two inputs of multi-scale fusion, and appropriate weight maps are selected. Then, a multi-scale detail-sharpening method is used to enhance the image details. Qualitative and quantitative evaluations prove that the proposed method can produce high-quality underwater images. Moreover, the proposed method has relatively high evaluator values compared to the state-of-the-art methods.

П. А. Столыпин в журнале «Русская Мысль»

The journal Russkaya Mysl’ (Russian Thought) was not a “Cadet monthly” and positioned itself as a journal of the “national Russian culture”. P. A. Stolypin was comprehended on its pages not only as a sharply political and controversial figure (P. B. Struve, A. S. Izgoev, A. A. Kizevetter, A. A. Kaufman, etc.), but as a reformer and creator of a new cultural way of life under the battle-cry of building Great Russia. Stolypin’s name first appears on the pages of the journal in reviews of Duma discussions in 1907 and in connection with the analysis of the revolutionary disturbance of 1905. In Letters from the Taurida Palace (1907), the historian A. A. Kizevetter launches the offensive against the government, noticing the “constitutional mask on the bureaucrat” Stolypin. It is the position of the Cadet faction (headed by P. N. Milyukov) in the State Duma, the majority of which did not allow the idea of joint constructive work with him. Struve thought differently and was present at a closed meeting with the Prime Minister on the night of June 3, 1907. Stolypin’s agrarian reform was covered in detail by the economist Kaufman in Russkaya mysl’ (Russian Thought), who warned that the main reason for the unresolved land issue in Russia is the lack of land against the backdrop of a rapidly growing population. Struve, after the assassination of the Prime Minister, publishes the` article Criminal and Victim (1911), in which there are several theses. The political face of Stolypin was determined by “rational constitutionalism.” He was against the restoration of absolute monarchy. But relying on the nobility and bureaucracy of the empire, entering into a dialogue with the public, Stolypin worked for the national idea. He had to retreat. Stolypin’s fate depended on the political situation in which he was involved and the victim of which he became. An insightful historical and psychological portrait of the assassinated Stolypin, his dual image, and his relationship with Nicholas II, takes on a finished form in Struve’s publications from the émigré newspaper Vozrozhdeniye (Revival) in 1925–1926.

Pedestrian Traffic Prediction using Deep Learning

Pedestrian traffic information offers useful insights when developing or maintaining a business.This research combines image processing and machine learning methods to predictpedestrian traffic flowrate and density for up to two days into the future, based on weatherdata, calendar data, and special events. To obtain the traffic flowrate and density, we firstdeveloped a neural network model to predict the number of new people and the total numberof people in each sequence of images captured by a Nova Scotia Webcams camera. Thesecounts of people are used to calculate the pedestrian traffic flowrate and density labels forhourly intervals. These labels are then combined with hourly weather data, calendar data,and special event data from the same period to train a recurrent neural network to predictthe traffic flowrate and density for up to two days in advance.We try two different approaches, CNN-LSTM and dual input CNN to predict the numberof new people and the total number of people from the images and compare how well eachapproach performs. The results show that the dual image input CNN models are moreeffective at predicting the number of new people and the total number of people than the CNN- LSTM models. Tested on independent test sets of images using K-fold cross-validation, theMTL CNN model achieved a test accuracy of 72% for the number of new people and 78%accuracy for the total number of people.

Contrast-enhanced ultrasonography to guide diagnostic and therapeutic interventional procedures

Although not necessary for the vast majority of ultrasound-guided procedures, intravenous contrast agents can be useful for procedures aimed at lesions that require contrast enhancement to be seen on ultrasonography.Using contrast-enhanced ultrasonography to guide procedures has two drawbacks: first, because enhancement from ultrasound contrast agents is short lived, it is often necessary to plan several injections; second, because the needle is poorly seen on contrast-enhanced ultrasonography, a dual image display format is necessary.Contrast-enhanced ultrasonography can be used for planning and monitoring diagnostic and therapeutic procedures, for guiding the procedures, and for follow-up. Using contrast-enhanced ultrasonography enables better results in both types of procedures; moreover, it can be used within cavities.

Special Mean and Total Curvature of a Dual Surface in Isotropic Spaces

The study of the geometry surfaces in spaces with a degenerate metric is one of the urgent problems of modern geometry since its results find numerous applications in problems of mechanics and quantum mechanics.In this paper, we study the properties of the total and mean curvatures of a surface and its dual image in an isotropic space. We prove the equality of the mean curvature and the second quadratic forms. The relation of the mean curvature of a surface to its dual surface is found. The superimposed space method is used to investigate the geometric characteristics of a surface relative to the normal and special normal.

Dual image watermarking using a multi-level thresholding and selective zone-quantization for copyright protection, authentication and recovery applications

Dual image watermarking using a multi-level thresholding and selective zone-quantization for copyright protection, authentication and recovery applications

Dynamic contrast-enhanced MRI parametric mapping using high spatiotemporal resolution Golden-angle RAdial Sparse Parallel MRI and iterative joint estimation of the arterial input function and pharmacokinetic parameters.

The aim of this work is to develop a data-driven quantitative dynamic contrast-enhanced (DCE) MRI technique using Golden-angle RAdial Sparse Parallel (GRASP) MRI with high spatial resolution and high flexible temporal resolution and pharmacokinetic (PK) analysis with an arterial input function (AIF) estimated directly from the data obtained from each patient. DCE-MRI was performed on 13 patients with gynecological malignancy using a 3-T MRI scanner with a single continuous golden-angle stack-of-stars acquisition and image reconstruction with two temporal resolutions, by exploiting a unique feature in GRASP that reconstructs acquired data with user-defined temporal resolution. Joint estimation of the AIF (both AIF shape and delay) and PK parameters was performed with an iterative algorithm that alternates between AIF and PK estimation. Computer simulations were performed to determine the accuracy (expressed as percentage error [PE]) and precision of the estimated parameters. PK parameters (volume transfer constant [Ktrans ], fractional volume of the extravascular extracellular space [ve ], and blood plasma volume fraction [vp ]) and normalized root-mean-square error [nRMSE] (%) of the fitting errors for the tumor contrast kinetic data were measured both with population-averaged and data-driven AIFs. On patient data, the Wilcoxon signed-rank test was performed to compare nRMSE. Simulations demonstrated that GRASP image reconstruction with a temporal resolution of 1 s/frame for AIF estimation and 5 s/frame for PK analysis resulted in an absolute PE of less than 5% in the estimation of Ktrans and ve , and less than 11% in the estimation of vp . The nRMSE (mean ± SD) for the dual temporal resolution image reconstruction and data-driven AIF was 0.16 ± 0.04 compared with 0.27 ± 0.10 (p< 0.001) with 1 s/frame using population-averaged AIF, and 0.23 ± 0.07 with 5 s/frame using population-averaged AIF (p< 0.001). We conclude that DCE-MRI data acquired and reconstructed with the GRASP technique at dual temporal resolution can successfully be applied to jointly estimate the AIF and PK parameters from a single acquisition resulting in data-driven AIFs and voxelwise PK parametric maps.

Feasibility and efficiency of contrast enhanced ultrasound real time guided fine needle aspiration for sentinel lymph node of breast cancer.

To assess the feasibility and efficiency of contrast-enhanced ultrasound (CEUS) real-time guided fine needle aspiration (FNA) for sentinel lymph node (SLN) of breast cancer. This retrospective study reviewed 21 breast cancer patients who scheduled for surgical resection performed CEUS real-time guided SLN-FNA and intraoperative SLN biopsy (SLNB). The success rate of CEUS real-time guided SLN-FNA was analyzed. The FNA diagnostic efficiency of SLN metastasis was analyzed compared to SLNB. Twenty-six SLNs were detected by intradermal CEUS whereas 130 SLNs were detected by SLNB. The median SLNs detected by intradermal CEUS (n = 1) and by SLNB (n = 5) was significantly difference (p < 0.001). All 26 CE-SLNs of 21 patients were successfully performed intradermal CEUS dual image real-time guided SLN-FNA including 5 SLNs of 4 patients which were difficult to distinguish in conventional ultrasound. Compared to SLNB, FNA found 2 of 5 cases of SLN metastasis, the diagnosis sensitivity, specificity, positive predictive value, negative predictive value, false negative rate, false positive rate and Yoden index were 40%, 100%, 100%, 84.2%, 60%, 0%and 40%, respectively. SLN-FNA real-time guided by dual CEUS image mode was technically feasible. Patients with a positive SLN-FNA should be advised to ALND without intraoperative SLNB according to Chinese surgeon and patients' conservatism attitude. But a negative SLN-FNA did not obviate the need of conventional SLNB because of the high false negative rate.

Robust Complementary Dual Image Watermarking in Subbands Derived from the Laplacian Pyramid, Discrete Wavelet Transform, and Directional Filter Bank

Robust Complementary Dual Image Watermarking in Subbands Derived from the Laplacian Pyramid, Discrete Wavelet Transform, and Directional Filter Bank

Hidden Information in Uniform Design for Visual and Near-Infrared Spectrum and for Inkjet Printing of Clothing on Canvas to Enhance Urban Security

In this paper, we publish the algorithm to create a dual image manifested in the infrared and visible spectrum. To distinguish the information in the two light spectra, twin dyes are introduced for the inkjet plotter and printing realization for garment and canvas items. The graphics, invisible to the naked eye, are designed for the near infrared (NIR) spectrum and are suitable for urban security where surveillance cameras with IR detectors are installed. The duality of dyes is presented in tables, and the analysis is a basis for programming and developing new algorithms for the application of “Infrared Dyeing” on different materials and printing technologies. Through spectroscopy, this innovative solution demonstrates twin colorants by printing in one pass through the plotter such that one image remains visible, while the other one is hidden to the bare eye. The uniform and the school bag cover presented in this paper are kept simple in design because they incorporate information hidden to the naked eye but visible with surveillance cameras and all the other infrared detectors. The article provides mathematical models of duality coloring as a basis for programming the graphic prepress that merges both of the images, the visual one and the infrared one. A topic is the fusion of two images with colors that represent two graphs, with independent contents for the visual and near-infrared spectrum.

Lysosomal dynamic events revealed by superresolution live cell microscopy

Lysosomes are critical organelles for regulating cellular degradation, metabolism, and crosstalk with other organelles. Interestingly, endolysosomal dysfunction has been implicated in many human disorders, highlighting their importance for maintaining cellular homeostasis. To date, few studies using superresolution imaging have focused on the dynamics occurring inside lysosomes, and between the lysosome and other cellular structures. Using advanced superresolution live-cell lattice Structured Illumination Microscopy (Lattice-SIM) and dual iterative SIM image processing, we investigated novel aspects of lysosomal network dynamics and live cell events, which are key for regulating cellular homeostasis.

COMBINATION BIOLOGIC AND SMALL MOLECULE THERAPY FOR REFRACTORY ULCERATIVE COLITIS

Some inflammatory bowel disease (IBD) patients do not achieve remission with maximal medical therapy. We present a case of refractory UC who achieved clinical, endoscopic, and histologic remission after combining biologic and small molecule therapy. A 25-year-old Caucasian male was referred to our clinic for refractory UC. Since diagnosis four years prior, he failed mesalamine, azathioprine (intolerant), adalimumab (secondary nonresponse), vedolizumab (secondary nonresponse) with inability to taper prednisone. Upon presentation to our clinic he was at week 14 of infliximab therapy without clinical improvement. Therapeutic drug monitoring revealed adequate infliximab levels without antibodies. Colonoscopy revealed mayo 2-3 disease with discrete ulcerations (Figure 1). Due to primary non-response, he was initiated on ustekinumab (UST). He remained clinically active despite dose escalation up to evey four weeks and prednisone use. Tofacitinib was initiated with initial clinical improvement, then worsening after 3 months. The Tofacitinib dosing was increased from twice daily to three times daily and repeat colonoscopy revealed pan-colitis with Mayo 2 disease. Due to refractory disease the patient was started on combined therapy of tofacitinib twice daily with UST. On dual therapy the patient experienced progressive clinical improvement. After a year of dual treatment colonoscopy showed no disease activity, and biopsies showed no evidence of cryptitis, or crypt abscesses or active inflammatory infiltrate (Figure 2). This case highlights the benefit of combination biologic therapy with small molecule therapy in medically refractory IBD. There are limited prospective data to endorse the widespread implementation of combination therapy. A meta-analysis of thirty studies, involving 279 patients, reported 59% were able to achieve clinical remission and 34% achieved endoscopic remission with treatment of dual biologic or small molecule therapy1. Concerns involving safety of combination biologic and small molecule therapy continue to be evaluated. In our case, the patient achieved clinical, endoscopic, and histologic remission with tofacitinib and UST without adverse effects. We present this case to support the safety and efficacy of combination therapy in medically refractory patients. Ahmed W, Galati J, Kumar A et al. Dual Biologic or Small Molecule Therapy for Treatment of Inflammatory Bowel Disease: A Systematic Review and Meta-analysis. Clin Gastroenterol Hepatol 2021. https://doi.org/10.1016/j.cgh.2021.03.034.Figure 2Colonoscopy after 1 year of dual therapyView Large Image Figure ViewerDownload Hi-res image Download (PPT)

Dual stereo-digital image correlation system for simultaneous measurement of overlapped wings with a polarization RGB camera and fluorescent speckle patterns.

Simultaneous monitoring of overlapped multi-wing structure by stereo-digital image correlation (stereo-DIC) may be used to quantify insect motion and deformation. We propose a dual stereo-DIC system based on multispectral imaging with a polarization RGB camera. Different fluorescent speckle patterns were fabricated on wings, which emit red and blue spectra under ultraviolet light that were imaged and separated using a polarization RGB camera and auxiliary optical splitting components. The resulting dual stereo-DIC system was validated through translation experiments with transparent sheets and reconstructed overlapped insect wings (cicadas). Dynamic measurements of the Ruban artificial flier indicate the efficacy of this approach to determining real insect flight behavior.

Induction duality: primal-dual search for invariants

Many invariant inference techniques reason simultaneously about states and predicates, and it is well-known that these two kinds of reasoning are in some sense dual to each other. We present a new formal duality between states and predicates, and use it to derive a new primal-dual invariant inference algorithm. The new induction duality is based on a notion of provability by incremental induction that is formally dual to reachability, and the duality is surprisingly symmetric. The symmetry allows us to derive the dual of the well-known Houdini algorithm, and by combining Houdini with its dual image we obtain primal-dual Houdini , the first truly primal-dual invariant inference algorithm. An early prototype of primal-dual Houdini for the domain of distributed protocol verification can handle difficult benchmarks from the literature.

Trailers12k: Improving Transfer Learning with a Dual Image and Video Transformer for Multi-Label Movie Trailer Genre Classification

Trailers12k: Improving Transfer Learning with a Dual Image and Video Transformer for Multi-Label Movie Trailer Genre Classification

Computer-aided scoring of erb-b2 receptor tyrosine kinase 2 (HER2) gene amplification status in breast cancer

BackgroundIdentification of HER2 protein overexpression and/or amplification of the HER2 gene are required to qualify breast cancer patients for HER2 targeted therapies. In situ hybridization (ISH) assays that identify HER2 gene amplification function as a stand-alone test for determination of HER2 status and rely on the manual quantification of the number of HER2 genes and copies of chromosome 17 to determine HER2 amplification. MethodsTo assist pathologists, we have developed the uPath HER2 Dual ISH Image Analysis for Breast (uPath HER2 DISH IA) algorithm, as an adjunctive aid in the determination of HER2 gene status in breast cancer specimens. The objective of this study was to compare uPath HER2 DISH image analysis vs manual read scoring of VENTANA HER2 DISH-stained breast carcinoma specimens with ground truth (GT) gene status as the reference. Three reader pathologists reviewed 220, formalin-fixed, paraffin-embedded (FFPE) breast cancer cases by both manual and uPath HER2 DISH IA methods. Scoring results from manual read (MR) and computer-assisted scores (image analysis, IA) were compared against the GT gene status generated by consensus of a panel of pathologists. The differences in agreement rates of HER2 gene status between manual, computer-assisted, and GT gene status were determined. ResultsThe positive percent agreement (PPA) and negative percent agreement (NPA) rates for image analysis (IA) vs GT were 97.2% (95% confidence interval [CI]: 95.0, 99.3) and 94.3% (95% CI: 90.8, 97.3) respectively. Comparison of agreement rates showed that the lower bounds of the 95% CIs for the difference of PPA and NPA for IA vs MR were –0.9% and –6.2%, respectively. Further, inter- and intra-reader agreement rates in the IA method were observed with point estimates of at least 96.7%. ConclusionsOverall, our data show that the uPath HER2 DISH IA is non-inferior to manual scoring and supports its use as an aid for pathologists in routine diagnosis of breast cancer.