sing-group/deep-learning-colonoscopy
Review in Deep Learning for Polyp Detection and Classification in Colonoscopy (https://doi.org/10.1016/j.neucom.2020.02.123).
This project helps medical researchers and practitioners navigate the latest advancements in using deep learning for colonoscopy analysis. It provides an overview of various studies, detailing the techniques and models used for detecting and classifying colorectal polyps from colonoscopy images. The input is research papers, and the output is a structured summary of their methodologies and performance, specifically useful for those working on computer-aided diagnosis systems in gastroenterology.
207 stars. No commits in the last 6 months.
Use this if you are a medical researcher or engineer interested in understanding the technical details and performance of deep learning models for polyp detection and classification in colonoscopy images.
Not ideal if you are looking for ready-to-use software for immediate clinical application or a general overview without technical depth.
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Nov 12, 2024
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