{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,26]],"date-time":"2025-06-26T04:14:43Z","timestamp":1750911283516,"version":"3.28.0"},"reference-count":17,"publisher":"SPIE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,3,13]]},"DOI":"10.1117\/12.2512473","type":"proceedings-article","created":{"date-parts":[[2019,3,13]],"date-time":"2019-03-13T23:02:55Z","timestamp":1552518175000},"page":"29","source":"Crossref","is-referenced-by-count":5,"title":["A probabilistic approach for interpretable deep learning in liver cancer diagnosis"],"prefix":"10.1117","author":[{"given":"Clinton J.","family":"Wang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charlie A.","family":"Hamm","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Brian S.","family":"Letzen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"James S.","family":"Duncan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"189","reference":[{"key":"c1","article-title":"Chexnet: Radiologist-level pneumonia detection on chest x-rays with deep learning","author":"Rajpurkar","year":"2017","journal-title":"CoRR"},{"key":"c2","article-title":"RADNET: radiologist level accuracy using deep learning for HEMORRHAGE detection in CT scans","author":"Grewal","year":"2017","journal-title":"CoRR abs\/1710.04934"},{"key":"c3","article-title":"What do we need to build explainable AI systems for the medical domain?","author":"Holzinger","year":"2017","journal-title":"CoRR abs\/1712.09923"},{"key":"c4","article-title":"Axiomatic attribution for deep networks","author":"Sundararajan","year":"2017","journal-title":"CoRR abs\/1703.01365"},{"key":"c5","doi-asserted-by":"crossref","first-page":"618","DOI":"10.1109\/ICCV.2017.74","article-title":"Grad-cam: Visual explanations from deep networks via gradient-based localization","volume-title":"2017 IEEE International Conference on Computer Vision (ICCV)","author":"Selvaraju","year":"2017"},{"article-title":"Visualizing higher-layer features of a deep network","year":"2009","author":"Erhan","key":"c6"},{"key":"c7","doi-asserted-by":"crossref","DOI":"10.23915\/distill.00007","article-title":"Feature visualization","author":"Olah","year":"2017"},{"key":"c8","article-title":"Interpretable convolutional neural networks","author":"Zhang","year":"2017","journal-title":"CoRR"},{"key":"c9","article-title":"Image captioning with semantic attention","author":"You","year":"2016","journal-title":"CoRR abs\/1603.03925"},{"key":"c10","article-title":"Icadx: Interpretable computer aided diagnosis of breast masses","author":"Kim","year":"2018","journal-title":"CoRR"},{"key":"c11","doi-asserted-by":"publisher","DOI":"10.1016\/j.mric.2014.04.007"},{"key":"c12","doi-asserted-by":"publisher","DOI":"10.5152\/dir"},{"key":"c13","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"Ioffe","year":"2015","journal-title":"CoRR abs\/1502.03167"},{"key":"c14","article-title":"Efficient object localization using convolutional networks","author":"Tompson","year":"2014","journal-title":"CoRR abs\/1411.4280"},{"key":"c15","article-title":"Adam: A method for stochastic optimization","author":"Kingma","year":"2014","journal-title":"CoRR"},{"article-title":"Keras","year":"2015","author":"Chollet","key":"c16"},{"key":"c17","first-page":"283","article-title":"Sparse nonparametric density estimation in high dimensions using the rodeo","volume-title":"Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics","volume":"2","author":"Liu","year":"2007"}],"event":{"name":"Computer-Aided Diagnosis","start":{"date-parts":[[2019,2,16]]},"location":"San Diego, United States","end":{"date-parts":[[2019,2,21]]}},"container-title":["Medical Imaging 2019: Computer-Aided Diagnosis"],"original-title":[],"deposited":{"date-parts":[[2019,4,1]],"date-time":"2019-04-01T16:46:33Z","timestamp":1554137193000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.spiedigitallibrary.org\/conference-proceedings-of-spie\/10950\/2512473\/A-probabilistic-approach-for-interpretable-deep-learning-in-liver-cancer\/10.1117\/12.2512473.full"}},"subtitle":[],"editor":[{"given":"Horst K.","family":"Hahn","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]},{"given":"Kensaku","family":"Mori","sequence":"first","affiliation":[],"role":[{"role":"editor","vocabulary":"crossref"}]}],"short-title":[],"issued":{"date-parts":[[2019,3,13]]},"references-count":17,"URL":"https:\/\/doi.org\/10.1117\/12.2512473","relation":{},"subject":[],"published":{"date-parts":[[2019,3,13]]}}}