{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,13]],"date-time":"2025-11-13T02:05:38Z","timestamp":1762999538378,"version":"3.28.0"},"reference-count":30,"publisher":"IEEE","license":[{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2019,10,1]],"date-time":"2019-10-01T00:00:00Z","timestamp":1569888000000},"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":[[2019,10]]},"DOI":"10.1109\/cisp-bmei48845.2019.8966022","type":"proceedings-article","created":{"date-parts":[[2020,1,24]],"date-time":"2020-01-24T03:24:14Z","timestamp":1579836254000},"page":"1-6","source":"Crossref","is-referenced-by-count":5,"title":["Nipple Detection in Mammogram Using a New Convolutional Neural Network Architecture"],"prefix":"10.1109","author":[{"given":"Yuyang","family":"Lin","sequence":"first","affiliation":[]},{"given":"Muyang","family":"Li","sequence":"additional","affiliation":[]},{"given":"Sirui","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Limin","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Fei","family":"Ma","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9575-x"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2009.2025036"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13684"},{"key":"ref12","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","author":"lecun","year":"2015","journal-title":"Nature"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.169"},{"journal-title":"Faster r-cnn Towards real-time object detection with region proposal networks","year":"2015","author":"ren","key":"ref14"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2017.07.005"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2015.7163806"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"97841","DOI":"10.1117\/12.2216971","article-title":"2d image classification for 3d anatomy localization: employing deep convolutional neural networks","volume":"9784","author":"de vos","year":"2016","journal-title":"Medical Imagine Image Processing 2016"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46726-9_27"},{"journal-title":"Deep Learning","year":"2016","author":"goodfellow","key":"ref28"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1118\/1.2208919"},{"key":"ref27","first-page":"2558","article-title":"Batch-instance normalization for adaptively style-invariant neural networks","author":"nam","year":"2018","journal-title":"Advances in neural information processing systems"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/42.640738"},{"key":"ref6","first-page":"22","author":"homer","year":"2004","journal-title":"Mammographic Interpretation A Practical Approach"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2014.09.001"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1118\/1.1800713"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/0169-2607(96)01724-5"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1118\/1.597307"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(85)92204-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-007-9035-6"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21492"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46723-8_27"},{"key":"ref22","first-page":"212","article-title":"The digital database for screening mammography","author":"heath","year":"0","journal-title":"Proceedings of the 5th International Workshop on Digital Mammography"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-011-5318-8_75"},{"journal-title":"Instance normalization The missing ingredient for fast stylization","year":"2016","author":"ulyanov","key":"ref24"},{"journal-title":"Batch Normalization Accelerating Deep Network Training by Reducing Internal Covariate Shift","year":"2015","author":"ioffe","key":"ref23"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_29"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2019.04.028"}],"event":{"name":"2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","start":{"date-parts":[[2019,10,19]]},"location":"Suzhou, China","end":{"date-parts":[[2019,10,21]]}},"container-title":["2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/8955993\/8965652\/08966022.pdf?arnumber=8966022","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T14:45:51Z","timestamp":1658155551000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/8966022\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,10]]},"references-count":30,"URL":"https:\/\/doi.org\/10.1109\/cisp-bmei48845.2019.8966022","relation":{},"subject":[],"published":{"date-parts":[[2019,10]]}}}