{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T00:46:14Z","timestamp":1769215574876,"version":"3.49.0"},"reference-count":32,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,4,4]]},"DOI":"10.1117\/12.2606801","type":"proceedings-article","created":{"date-parts":[[2022,2,18]],"date-time":"2022-02-18T13:41:24Z","timestamp":1645191684000},"page":"84","source":"Crossref","is-referenced-by-count":9,"title":["Colorectal polyp classification using confidence-calibrated convolutional neural networks"],"prefix":"10.1117","author":[{"given":"Koen C.","family":"Kusters","sequence":"first","affiliation":[]},{"given":"Thom","family":"Scheeve","sequence":"additional","affiliation":[]},{"given":"Nikoo","family":"Dehghani","sequence":"additional","affiliation":[]},{"given":"Quirine E.","family":"van der Zander","sequence":"additional","affiliation":[]},{"given":"Ramon-Michel","family":"Schreuder","sequence":"additional","affiliation":[]},{"given":"Ad A.","family":"Masclee","sequence":"additional","affiliation":[]},{"given":"Erik J.","family":"Schoon","sequence":"additional","affiliation":[]},{"given":"Fons","family":"van der Sommen","sequence":"additional","affiliation":[]},{"given":"Peter H. N.","family":"de With","sequence":"additional","affiliation":[]}],"member":"189","reference":[{"issue":"3","key":"c1","first-page":"145","article-title":"Colorectal cancer statistics, 2020","volume":"70","author":"Siegel","year":"2020","journal-title":"CA: A Cancer Journal for Clinicians"},{"key":"c2","article-title":"Differences in incidence and mortality trends of colorectal cancer worldwide based on sex, age, and anatomic location","author":"Wong","year":"2020","journal-title":"Clinical Gastroenterology and Hepatology"},{"key":"c3","doi-asserted-by":"publisher","DOI":"10.1111\/his.2007.50.issue-1"},{"key":"c4","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2018.01.063"},{"key":"c5","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2011.01.023"},{"key":"c6","doi-asserted-by":"publisher","DOI":"10.1016\/j.gie.2014.12.022"},{"key":"c7","first-page":"37","article-title":"Computer-aided classification of colorectal polyps using blue-light and linked-color imaging","author":"Scheeve","year":"2019"},{"key":"c8","doi-asserted-by":"publisher","DOI":"10.1155\/2016\/6584725"},{"key":"c9","doi-asserted-by":"publisher","DOI":"10.1109\/JBHI.2016.2635662"},{"key":"c10","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/ISBI.2019.8759320","article-title":"Multi-modal classification of polyp malignancy using cnn features with balanced class augmentation","volume-title":"2019 IEEE 16th International Symposium on Biomedical Imaging (ISBI 2019)","author":"Fonoll\u00e1","year":"2019"},{"key":"c11","first-page":"2507","article-title":"Colorectal polyp classification based on latent sharing features domain from multiple endoscopy images","volume-title":"Procedia Computer Science","volume":"176","author":"Usami","year":"2020"},{"key":"c12","first-page":"648","article-title":"Triplet network for classification of benign and pre-malignant polyps","volume-title":"Medical Imaging 2021: Computer-Aided Diagnosis","volume":"11597","author":"Fonoll\u00e0","year":"2021"},{"key":"c13","article-title":"ImageNet: A Large-Scale Hierarchical Image Database","author":"Deng","year":"2009","journal-title":"CVPR09"},{"key":"c14","first-page":"1","article-title":"Automatic colon polyp classification using convolu-tional neural network: A case study at basque country","volume-title":"in [2019 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT)]","author":"Bour","year":"2019"},{"key":"c15","first-page":"2412","article-title":"An online deep convolutional polyp lesion prediction over narrow band imaging (nbi)","volume-title":"2020 42nd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC)","author":"Sierra","year":"2020"},{"key":"c16","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3558374"},{"key":"c17","doi-asserted-by":"publisher","DOI":"10.3390\/app10020501"},{"key":"c18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0236452"},{"key":"c19","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2017.10.010"},{"key":"c20","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-56697-0"},{"key":"c21","doi-asserted-by":"publisher","DOI":"10.1136\/gutjnl-2017-314547"},{"key":"c22","doi-asserted-by":"publisher","DOI":"10.3390\/app10155040"},{"key":"c23","first-page":"1","article-title":"Prediction of polyp pathology using convolutional neural networks achieves \u201cresect and discard\u201d thresholds","volume":"115","author":"Zachariah","year":"2019","journal-title":"The American Journal of Gastroen-terology"},{"key":"c24","article-title":"On calibration of modern neural networks","author":"Guo","year":"2017","journal-title":"CoRR abs\/1706.04599"},{"key":"c25","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101653"},{"key":"c26","article-title":"Improved trainable calibration method for neural networks on medical imaging classification","author":"Liang","year":"2020"},{"key":"c27","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.5962385"},{"key":"c28","doi-asserted-by":"publisher","DOI":"10.1016\/S0734-189X(87)80186-X"},{"key":"c29","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","author":"Tan","year":"2019","journal-title":"CoRR abs\/1905.11946"},{"key":"c30","doi-asserted-by":"publisher","DOI":"10.1053\/j.gastro.2019.11.030"},{"key":"c31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32692-0"},{"key":"c32","doi-asserted-by":"publisher","DOI":"10.1145\/1102351"}],"event":{"name":"Computer-Aided Diagnosis","location":"San Diego, United States","start":{"date-parts":[[2022,2,20]]},"end":{"date-parts":[[2022,3,28]]}},"container-title":["Medical Imaging 2022: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2022,7,2]],"date-time":"2022-07-02T21:30:07Z","timestamp":1656797407000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/12033\/2606801\/Colorectal-polyp-classification-using-confidence-calibrated-convolutional-neural-networks\/10.1117\/12.2606801.full"}},"subtitle":[],"editor":[{"given":"Khan M.","family":"Iftekharuddin","sequence":"additional","affiliation":[]},{"given":"Karen","family":"Drukker","sequence":"additional","affiliation":[]},{"given":"Maciej A.","family":"Mazurowski","sequence":"additional","affiliation":[]},{"given":"Hongbing","family":"Lu","sequence":"additional","affiliation":[]},{"given":"Chisako","family":"Muramatsu","sequence":"additional","affiliation":[]},{"given":"Ravi K.","family":"Samala","sequence":"additional","affiliation":[]}],"short-title":[],"issued":{"date-parts":[[2022,4,4]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1117\/12.2606801","relation":{},"subject":[],"published":{"date-parts":[[2022,4,4]]}}}