Creation Of Classification Research Articles

CLASSIFICATION OF BRAIN MRI IMAGES BY USING THE AUTOMATIC SEGMENTATION AND TEXTURE ANALYSIS

Brain tumor is a relatively severe human disease type. Its timely diagnosis and tumor type definition are an actual task in modern medicine. Lately, the segmentation methods on 3D brain images (like computer and magnetic resonance tomography) are used for definition of a certain tumor type. Nevertheless, the segmentation is usually conducted manually, which requires a lot of time and depends on the experience of a doctor. This paper looks at the possibility of creating a method for the automatic segmentation of images. As a training sample, the medical database of MRI brain tomography with three tumor types (meningioma, glioma, and pituitary tumor) was taken. Taking into account the different slices, the base had: 708 examples of meningioma, 1426 examples of glioma, and 930 examples of pituitary tumor. The database authors marked the regions of interest on each image, which were used as a tutor (supervised learning) for automatic segmentation model. Before model creation, currently existing popular automatic segmentation models were analyzed. U-Net deep convolution neural network architecture was used as the most suitable one. As the result of its use, the model was obtained, which can segment the image correctly in seventy four percent of six hundred images (testing sample). After obtaining the automatic segmentation model, the Random Forest models for three “One versus All”tasks and one multiclass task were created for brain tumor classification. The total sample was divided into training (70 %), testing (20 %), and examining (10 %) ones before creating the models. The accuracy of the models in the examining sample varies from 84to 94 percent. For model classification creation, the texture features were used, obtained by texture analysis method, and created by the co-authors of the Department of Biomedical Cybernetics in the task of liver ultrasound image classification. They were compared with well-known Haralick texture features. The comparison showed that the best way to achieve an accurate classification model is to combine all the features into one stack.

ANALYSIS OF SHORTCOMINGS IN MEDICAL CARE PROVIDING TO SERVICEMEN IN THE NATIONAL MILITARY MEDICAL CLINICAL CENTER "MAIN MILITARY CLINICAL HOSPITAL"

Assessing the quality of medical care, identifying defects in its provision, studying the shortcomings of medical activities are extremely important not only for forensic expertise or law enforcement practice, but also for all clinical medicine. For the purpose of clinical and anatomical analysis as well as the creation of classification of medical errors which most often occur in the conditions of military medical and preventive institution, revealing of their reasons in National military medical clinical center "Main military clinical hospital" (Kyiv) research was carried out in the period 2016− In 2018, the defects in the provision of medical care were analyzed using medical records, protocols of pathological examinations, acts of meetings of the commission for the study of lethal consequences, as well as reviews of medical records. It was established that erroneous actions of the medical doctors occurred during diagnosis, treatment, medical records, as well as in the organizational support of medical activities. In 2016, 32 defects were identified, in 2017 this number was 29, and in 2018 that was 37. Inadequate medical care was usually provided in insufficient quantities and late. The largest number of servicemen by category fell on the officer corps, the smallest one did on army conscripts. It has been proven that defects in class XI (digestive diseases), in class X (respiratory diseases), and also in class VI (diseases of the nervous system) occurred much more often. The main shortcomings in the organization of medical care for servicemen were unrecognized underlying diseases and errors in maintaining medical records. The causes of recognized defects are objective difficulties of diagnosis, shortcomings in the organization of the treatment process and the atypical course of the disease. The identified shortcomings in the provision of medical care to servicemen and their internal/external reasons should be taken into account when organizing a more effective treatment process in medical institutions of our country. Key words: National Military Medical Clinical Center "Main Military Clinical Hospital", shortcomings in medical care provision, servicemen.

ВНЕСОК ПРОФЕСОРА Н.Б. ВЕРНАНДЕР У СТВОРЕННЯ КЛАСИФІКАЦІЇ І НОМЕНКЛАТУРИ ҐРУНТІВ УКРАЇНИ

The article reveals one of the important achievements of the national soil science in the 1930s – creation of classification and nomenclature of soils of Ukraine. With application in the study of the principles of objectivity, historicism, as well as actual historical methods (problem-chronological, personification, biographical, etc.), it was found out, new soil typology was developed based on creative developments employees Ukrainian Research Institute socialist agriculture, including Professor N.B. Vernander. In the present characterization of soil types soil formation factors, geographical factors and partly physical and chemical properties of soils are prevalent. The recommendations of scientists concerning methods of rational use and improvement of soil fertility are generalized.

METHOD OF THE CLUSTERING OF FRAGMENTS OF AERIAL PHOTOGRAPHS IN SPECTRAL-FREQUENCY SPACE

In article the questions connected with onboard processing of aerial photographs which are received during the process of aero monitoring are considered. It is shown that aerial photographs are characterized by a different semantic saturation. Therefore during the processing of aerial photographs special attention needs to be paid to the choice of a semantic saturation and the most significant information about contours, borders of objects of the area. The choice of technology of processing of aerial photographs which can take the most key information from pictures is proved. Creation of classification of a semantic saturation of blocks of the image on the basis of dct-transformation, and also need of use of methods of the cluster analysis for a clustering of fragments of aerial photographs in spectral and frequency space is offered.

Алгоритмізація геоінформаційного картографування міжнародних зв'язків

The objective of the article is to show the algorithm of international relations geoinformation mapping. During the mapping we can mine unknown or hidden knowledge which can be understood from the spatial database and improve the ability of interpreting data. The algorithm of mapping can be divided into five phases described as follows: investigation of potential map user’s demands, spatial data analysis and selection (accuracy, consistency, fullness); scale, map projections and map composition choice (main meridian, map frame, map distortions), spatial data preprocessing (metadata description, data normalization, data generalization, data quality control, error detection, anomalies, duplication and noise detection, correction of errors, data deduplication), data mining (creation of classifications, cluster and factor analysis, decision trees, neural networks, self-organizing maps, association rules, quality assessment), map creation, knowledge representation and evaluation. The article arranges experience of international relations geoinformation mapping. The international relations maps of Ukraine potential users (state and region management, educational, cultural, advocacy, international marketing and advertising, media business), subjects (substance, energy and information flows) and indicators arrays are proposed. Main subjects of maps can be described as follows: military-political, economicpolitical, socio-political and ideological relations; migrations and refugees, international tourism, export and import of goods and services, information flows (flows of culture elements, artifacts and tangible cultural monuments, scientific knowledge, ideas, technologies, traditions, beliefs, ideology, etc.), transport and business infrastructure. The requirements for spatial data sources for international relations geoinformation mapping are defined. The algorithm of international relations static and interactive maps creation and analysis are founded. The flow chart of Ukraine international relations geoinformation mapping algorithm is presented.