Abstract
In the recent past, Wireless endoscopy (WE) helps physicians to study the digestive tract at the cost of a wide range of images without surgery. The major challenge arises from the complication of robust image characterization in computer-aided WE pictorial diagnostics. The purpose of the research is to provide a biased definition of WE images and to enable medical professionals to automatically identify polyp images. In this paper, the learning feature approach called Deep Stacked Auto Encoder with Constraint Image (DSAECI) for recognizing polyps in WE images has been proposed. This DSAECI differs from the Traditional Method of Auto Encoder (TMAE) due to the introduction of constraint image, created by the nearest neighbor's image and describing inherent object structures. The multiple limitations of images force users to keep images in the same category far away, which share similar learned characteristics and images in various categories and utilized the Flexible medical sensor platform for data analysis. The learned characteristics thus retain large inter-variances and small intra-images. The average total accuracy (OA) of our WE images method is 98.00%. The full results showed that the proposed DSAECI can correctly identify polyps in a WE-image and provide definition characterization for web images. In clinical trials, this approach could be further used to help doctors interpret repetitive images.
Highlights
ABOUT THE SIGNIFICANCE OF POLYP RECOGNITION Presently, The Third most common cancer in both women and men is colorectal cancer
Doctors need direct visualization of the digestive tract (DT) in their early stages to detect and eliminate polyps before it deteriorates into cancer cells [2]
Once a wireless endoscope (WE) enters the human body, it records DT images for about 8 hours and transmits them electronically to an external information recorder linked to the waists of the patient
Summary
ABOUT THE SIGNIFICANCE OF POLYP RECOGNITION Presently, The Third most common cancer in both women and men is colorectal cancer. The American Cancer Society reported that in 2016 in the USA there were 133,800 new cases of colorectal cancer [1]. Colon cancer polyps are important cancer precursors that may develop if the polyps remain untreated. Doctors need direct visualization of the digestive tract (DT) in their early stages to detect and eliminate polyps before it deteriorates into cancer cells [2]. A wireless endoscope (WE) has become an important diagnostic tool for the DT track inspection [3] in recent days. Once a WE enters the human body, it records DT images for about 8 hours and transmits them electronically to an external information recorder linked to the waists of the patient.
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