A DEEP LEARNING-BASED MEDICAL IMAGE ANALYSIS SYSTEM AND METHOD FOR POLYP SEGMENTATION FROM COLONOSCOPY IMAGES

TR202611819A2Pending Publication Date: 2026-09-21T C USKUDAR UNIVERSITESI
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Patent Information

Application Number
TR202611819
Authority / Receiving Office
TR · TR
Patent Type
Applications
Current Assignee / Owner
Filing Date
2026-07-16
Publication Date
2026-09-21

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Abstract

The invention relates to a deep learning-based medical image analysis system and working method that aims to improve the accuracy of polyp detection for polyp segmentation from colonoscopy images, thereby reducing the rate of missed polyps; to enable pixel-level polyp boundary determination and reporting; to capture polyps of different sizes and shapes; and to ensure applicability in resource-constrained environments by achieving high success rates with limited data.
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