{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,21]],"date-time":"2026-10-21T12:27:53Z","timestamp":1792585673224,"version":"4.5.0"},"reference-count":19,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,5,23]],"date-time":"2022-05-23T00:00:00Z","timestamp":1653264000000},"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","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100003347","name":"Fudan University","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100003347","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,5,23]]},"DOI":"10.1109\/icassp43922.2022.9746533","type":"proceedings-article","created":{"date-parts":[[2022,4,27]],"date-time":"2022-04-27T19:50:34Z","timestamp":1651089034000},"page":"1396-1400","source":"Crossref","is-referenced-by-count":3,"title":["Selective Scale Cascade Attention Network for Breast Cancer Histopathology Image Classification"],"prefix":"10.1109","author":[{"given":"Bowen","family":"Xu","sequence":"first","affiliation":[{"name":"Fudan University,Academy for Engineering and Technology,Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenqiang","family":"Zhang","sequence":"additional","affiliation":[{"name":"Fudan University,Academy for Engineering and Technology,Shanghai,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref10","first-page":"6947","article-title":"Saganet: A small sample gated network for pediatric cancer diagnosis","volume":"139","author":"liu","year":"2021","journal-title":"Proceedings of the 38th International Conference on Machine Learning"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2019.2948026"},{"key":"ref12","first-page":"12597","article-title":"Adaptive weighting multi-field-ofview CNN for semantic segmentation in pathology","author":"tokunaga","year":"2019","journal-title":"IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.106"},{"key":"ref14","first-page":"3","article-title":"CBAM: convolutional block attention module","volume":"11211","author":"woo","year":"2018","journal-title":"ECC 2018"},{"key":"ref15","article-title":"Cascade RCNN: delving into high quality object detection","author":"cai","year":"0","journal-title":"2018 Conference on Computer Vision and Pattern Recognition"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1145\/3230905.3230940"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0214587"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00146"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2019.08.072"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1016\/S0933-3657(99)00019-6"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2016.7727519"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.artmed.2018.04.005"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2008.01.009"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN48605.2020.9207604"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102341"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/TBME.2015.2496264"},{"key":"ref1","article-title":"Global cancer statistics 2018: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries","author":"freddie","year":"2018","journal-title":"Ca A Cancer Journal for Clinicians"},{"key":"ref9","first-page":"1","article-title":"Mcua: Multi-level context and uncertainty aware dynamic deep ensemble for breast cancer histology image classification","author":"senousy","year":"2021","journal-title":"IEEE Transactions on Biomedical Engineering"}],"event":{"name":"ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","location":"Singapore, Singapore","start":{"date-parts":[[2022,5,23]]},"end":{"date-parts":[[2022,5,27]]}},"container-title":["ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9745891\/9746004\/09746533.pdf?arnumber=9746533","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,8,15]],"date-time":"2022-08-15T20:07:48Z","timestamp":1660594068000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9746533\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,5,23]]},"references-count":19,"URL":"https:\/\/doi.org\/10.1109\/icassp43922.2022.9746533","relation":{},"subject":[],"published":{"date-parts":[[2022,5,23]]}}}