{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:28:08Z","timestamp":1730266088134,"version":"3.28.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/ijcnn48605.2020.9206868","type":"proceedings-article","created":{"date-parts":[[2020,9,30]],"date-time":"2020-09-30T00:40:33Z","timestamp":1601426433000},"page":"1-6","source":"Crossref","is-referenced-by-count":1,"title":["Axis projection for Kidney-Region-Of-Interest detection in computed tomography"],"prefix":"10.1109","author":[{"given":"Tomasz","family":"Les","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tomasz","family":"Markiewcz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Miroslaw","family":"Dziekiewicz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Malgorzata","family":"Lorent","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"year":"0","author":"heller","article-title":"The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical Out-comes","key":"ref10"},{"year":"0","key":"ref11"},{"key":"ref12","article-title":"Convolutional networks for images, speech, and time series","volume":"3361","author":"lecun","year":"1995","journal-title":"The Handbook of Brain Theory and Neural Networks"},{"doi-asserted-by":"publisher","key":"ref13","DOI":"10.1109\/5.726791"},{"key":"ref14","first-page":"225","article-title":"A Flood-Fill-Based Technique for Boundary Closure of Kidney Contours in CT Images","author":"les","year":"2018","journal-title":"International Conference on Global Research and Education"},{"key":"ref4","first-page":"22","article-title":"Automatic Detection and Segmentation of Kidneys in Magnetic Resonance Images Using Image Processing Techniques","volume":"2","author":"mohammad","year":"2017","journal-title":"Biomedical Statistics and Informatics"},{"year":"2018","author":"ferlay","article-title":"global Cancer Observatory: Cancer Today","key":"ref3"},{"key":"ref6","first-page":"130","article-title":"Effective Kidney Segmentation Using Gradient Based Approach in Abdominal CT Images","author":"myint","year":"2015","journal-title":"Proceedings of 2015 International Conference on Future Computational Technologies (ICFCT'2015)"},{"doi-asserted-by":"publisher","key":"ref5","DOI":"10.1109\/TITB.2005.855561"},{"doi-asserted-by":"publisher","key":"ref8","DOI":"10.1016\/j.eswa.2008.02.064"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"411","DOI":"10.1007\/978-3-642-40763-5_51","article-title":"Mitosis Detection in Breast Cancer Histology Images with Deep Neural Networks","volume":"8150","author":"cire?an","year":"2013","journal-title":"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013"},{"year":"2016","author":"moch","article-title":"WHO Classification of Tumours of the Urinary System and Male Genital Organs","key":"ref2"},{"year":"0","key":"ref1"},{"doi-asserted-by":"publisher","key":"ref9","DOI":"10.1016\/j.eswa.2016.05.020"}],"event":{"name":"2020 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2020,7,19]]},"location":"Glasgow, United Kingdom","end":{"date-parts":[[2020,7,24]]}},"container-title":["2020 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9200848\/9206590\/09206868.pdf?arnumber=9206868","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:54:08Z","timestamp":1656453248000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9206868\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/ijcnn48605.2020.9206868","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}