In this study, we developed a convolutional neural network (CNN) for autonomous detection of colorectal polyps, in images captured during wireless colon capsule ...
In this study, we developed a convolutional neural network (CNN) for autonomous detection of colorectal polyps, in images captured during wireless colon capsule ...
In this study, we developed a convolutional neural network (CNN) for autonomous detection of colorectal polyps, in images captured during wireless colon capsule ...
Apr 19, 2023 · The present study aimed to develop an AI-based system for the detection and classification of polyps using colonoscopy images.
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. https://doi.org/10.1016/j ...
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Sep 19, 2024 · Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Comput ...
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Deep learning approaches have a great potential to help clinicians detect, localize, and determine the severity of CD with pan-enteric capsule endoscopy and ...
Aug 17, 2022 · The highest sensitivity of 98.1% for polyp detection was achieved by deep learning with a convolutional neural network.
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Recent advances in deep ...