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A Classification-Enhanced Vote Accumulation Scheme for Detecting Colonic Polyps., , and . Abdominal Imaging, volume 8198 of Lecture Notes in Computer Science, page 53-62. Springer, (2013)On the Necessity of Fine-Tuned Convolutional Neural Networks for Medical Imaging., , , , , , and . Deep Learning and Convolutional Neural Networks for Medical Image Computing, Springer, (2017)A Comprehensive Computer-Aided Polyp Detection System for Colonoscopy Videos., , and . IPMI, volume 9123 of Lecture Notes in Computer Science, page 327-338. Springer, (2015)AFT*: Integrating Active Learning and Transfer Learning to Reduce Annotation Efforts., , , , and . CoRR, (2018)Automatic polyp detection in colonoscopy videos., , , , , , , and . Medical Imaging: Image Processing, volume 10133 of SPIE Proceedings, page 101332K. SPIE, (2017)Establishing key research questions for the implementation of artificial intelligence in colonoscopy: A modified Delphi method, , , , , , , , , and 13 other author(s). Endoscopy, 53 (9): 893--901 (2021)Automatic polyp detection from learned boundaries., , , and . ISBI, page 97-100. IEEE, (2014)Fine-Tuning Convolutional Neural Networks for Biomedical Image Analysis: Actively and Incrementally., , , , , and . CVPR, page 4761-4772. IEEE Computer Society, (2017)Automatic polyp detection in colonoscopy videos using an ensemble of convolutional neural networks., , and . ISBI, page 79-83. IEEE, (2015)Comparative Validation of Polyp Detection Methods in Video Colonoscopy: Results From the MICCAI 2015 Endoscopic Vision Challenge., , , , , , , , , and 14 other author(s). IEEE Trans. Medical Imaging, 36 (6): 1231-1249 (2017)