{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,4]],"date-time":"2026-04-04T17:48:31Z","timestamp":1775324911011,"version":"3.50.1"},"reference-count":43,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"7","license":[{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,1]],"date-time":"2021-07-01T00:00:00Z","timestamp":1625097600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["61872256"],"award-info":[{"award-number":["61872256"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["81772275"],"award-info":[{"award-number":["81772275"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004829","name":"Science and Technology Department of Sichuan Province","doi-asserted-by":"publisher","award":["2020YFS0125"],"award-info":[{"award-number":["2020YFS0125"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2021,7]]},"DOI":"10.1109\/tmi.2021.3068404","type":"journal-article","created":{"date-parts":[[2021,3,24]],"date-time":"2021-03-24T19:55:26Z","timestamp":1616615726000},"page":"1898-1910","source":"Crossref","is-referenced-by-count":17,"title":["Deep Collocative Learning for Immunofixation Electrophoresis Image Analysis"],"prefix":"10.1109","volume":"40","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5706-5177","authenticated-orcid":false,"given":"Xiao-Yong","family":"Wei","sequence":"first","affiliation":[]},{"given":"Zhen-Qun","family":"Yang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2473-460X","authenticated-orcid":false,"given":"Xu-Lu","family":"Zhang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4327-0054","authenticated-orcid":false,"given":"Ga","family":"Liao","sequence":"additional","affiliation":[]},{"given":"Ai-Lin","family":"Sheng","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6881-4444","authenticated-orcid":false,"given":"S. Kevin","family":"Zhou","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7352-3465","authenticated-orcid":false,"given":"Yongkang","family":"Wu","sequence":"additional","affiliation":[]},{"given":"Liang","family":"Du","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2018.00097"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00813"},{"key":"ref33","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Proc Eur Conf Comput Vis"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref31","article-title":"A review of deep learning in medical imaging: Imaging traits, technology trends, case studies with progress highlights, and future promises","author":"kevin zhou","year":"2020","journal-title":"arXiv 2008 09104"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.6100"},{"key":"ref37","first-page":"3","article-title":"CBAM: Convolutional block attention module","author":"woo","year":"2018","journal-title":"Proc Eur Conf Comput Vis (ECCV)"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00745"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref34","article-title":"Learning multiple layers of features from tiny images","author":"krizhevsky","year":"2009"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref40","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref12","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_17"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_20"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.jid.2018.01.028"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46726-9_29"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1001\/jama.2016.17216"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1007\/978-3-030-00889-5_1","article-title":"UNet++: A nested U-net architecture for medical image segmentation","author":"zhou","year":"2018","journal-title":"Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2014.2377694"},{"key":"ref27","first-page":"424","article-title":"3D U-net: Learning dense volumetric segmentation from sparse annotation","author":"\u00e7i\u00e7ek","year":"2016","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21551"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2009.05.012"},{"key":"ref29","article-title":"Attention U-net: Learning where to look for the pancreas","author":"oktay","year":"2018","journal-title":"arXiv 1804 03999"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1118\/1.1387272"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref7","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.clml.2018.02.015"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/bjh.13537"},{"key":"ref9","first-page":"91","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1038\/nature21056"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-66179-7_64"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2017.8036887"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-540-74048-3_4"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-95933-7_4"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/ICAwST.2018.8517248"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/TASSP.1978.1163055"},{"key":"ref26","article-title":"Using YOLO based deep learning network for real time detection and localization of lung nodules from low dose CT scans","volume":"10575","author":"george","year":"2018","journal-title":"Proc SPIE"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.243"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2018.01.017"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/9469008\/09385115.pdf?arnumber=9385115","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T14:49:10Z","timestamp":1652194150000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9385115\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7]]},"references-count":43,"journal-issue":{"issue":"7"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2021.3068404","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,7]]}}}