{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:34:38Z","timestamp":1760027678835,"version":"3.38.0"},"reference-count":52,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T00:00:00Z","timestamp":1729900800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T00:00:00Z","timestamp":1729900800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,10,26]]},"DOI":"10.1109\/cisp-bmei64163.2024.10906194","type":"proceedings-article","created":{"date-parts":[[2025,3,7]],"date-time":"2025-03-07T18:33:21Z","timestamp":1741372401000},"page":"1-10","source":"Crossref","is-referenced-by-count":2,"title":["An Explainable Classification Model of Renal Cancer Subtype Using Deep Learning"],"prefix":"10.1109","author":[{"given":"Zongao","family":"Ye","sequence":"first","affiliation":[{"name":"Xi&#x0027;an Jiaotong-Liverpool University,Department of Applied Mathematics,Suzhou,Jiangsu,China"}]},{"given":"Sikai","family":"Ge","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an Jiaotong-Liverpool University,Department of Applied Mathematics,Suzhou,Jiangsu,China"}]},{"given":"Mingfei","family":"Yang","sequence":"additional","affiliation":[{"name":"Qinghai Provincial People&#x0027;s Hospital,Department of Neurosurgery,Xining,Qinghai,China"}]},{"given":"Chaonan","family":"Du","sequence":"additional","affiliation":[{"name":"Affiliated Jinling Hospital, Medical School of Nanjing University,Department of Neurosurgery,Nanjing,Jiangsu,China"}]},{"given":"Fei","family":"Ma","sequence":"additional","affiliation":[{"name":"Xi&#x0027;an Jiaotong-Liverpool University,Department of Applied Mathematics,Suzhou,Jiangsu,China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1002\/ijc.29210"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2018.07.005"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2018.04.013"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2011.12.007"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.jare.2021.03.015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-021-00444-8"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/7186762"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0209649"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.3390\/s19173722"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06214-8"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.crad.2017.11.015"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2018.8363798"},{"key":"ref16","article-title":"Classification of mri migraine medical data using 3d convolutional neural network","volume-title":"International Conference on Artificial Neural Networks","author":"Wermter","year":"2018"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00931-1_24"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref19","first-page":"6105","article-title":"Efficientnet: Rethinking model scaling for convolutional neural networks","volume-title":"International conference on machine learning","author":"Tan","year":"2019"},{"key":"ref20","article-title":"Very deep convolutional networks for large-scale image recognition","author":"Simonyan","year":"2014","journal-title":"arXiv preprint"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/s10489-020-02055-x"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2019.105138"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1201\/9781003215141-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-019-46718-3"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.urology.2020.05.094"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2978629"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00277"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2014.07.005"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejrad.2020.109343"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.eururo.2020.09.017"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-020-06787-9"},{"key":"ref33","article-title":"Spatial transformer networks","volume":"28","author":"Jaderberg","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.09.025"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-10590-1_53"},{"key":"ref37","article-title":"Striving for simplicity: The all convolutional net","author":"Tobias Springenberg","year":"2014","journal-title":"arXiv preprint"},{"key":"ref38","article-title":"Object detectors emerge in deep scene cnns","author":"Zhou","year":"2014","journal-title":"arXiv preprint"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1007\/s12065-020-00540-3"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.3390\/info11020125"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.3390\/app12083773"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1109\/IC3.2019.8844937"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1007\/s11042-022-13486-8"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1007\/s11071-020-06111-6"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-015-0816-y"},{"key":"ref50","article-title":"How transferable are features in deep neural networks?","volume":"27","author":"Yosinski","year":"2014","journal-title":"Advances in neural information processing systems"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC44109.2020.9175884"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.1016\/j.aiia.2021.12.002"}],"event":{"name":"2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","start":{"date-parts":[[2024,10,26]]},"location":"Shanghai, China","end":{"date-parts":[[2024,10,28]]}},"container-title":["2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10906074\/10906075\/10906194.pdf?arnumber=10906194","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T07:53:52Z","timestamp":1741420432000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10906194\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,26]]},"references-count":52,"URL":"https:\/\/doi.org\/10.1109\/cisp-bmei64163.2024.10906194","relation":{},"subject":[],"published":{"date-parts":[[2024,10,26]]}}}