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Bright spot regions segmentation and classification for specular highlights detection in colonoscopy videos., , , , and . Mach. Vis. Appl., 28 (8): 917-936 (2017)Towards automatic polyp detection with a polyp appearance model., , and . Pattern Recognit., 45 (9): 3166-3182 (2012)An Interactive Cutting Algorithm With Pattern Recognition For Triangular Meshes., , , and . CGVR, page 208-213. CSREA Press, (2009)Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks., , , , , , , , , and 2 other author(s). CoRR, (2021)Towards Fine-Grained Polyp Segmentation and Classification., , , and . CLIP/FAIMI/EPIMI@MICCAI, volume 14242 of Lecture Notes in Computer Science, page 32-42. Springer, (2023)Polyp Segmentation in Colonoscopy Images., , , and . Computer-Aided Analysis of Gastrointestinal Videos, Springer, (2021)Conclusions and Perspectives., and . Computer-Aided Analysis of Gastrointestinal Videos, Springer, (2021)Integration of Valley Orientation Distribution for Polyp Region Identification in Colonoscopy., , and . Abdominal Imaging, volume 7029 of Lecture Notes in Computer Science, page 76-83. Springer, (2011)Why is the Winner the Best?, , , , , , , , , and 115 other author(s). CVPR, page 19955-19966. IEEE, (2023)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)