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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 ...
Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. from www.nature.com
May 30, 2024 · Application of deep learning for autonomous detection and localization of colorectal polyps in wireless colon capsule endoscopy. Comput ...