{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T21:25:59Z","timestamp":1761427559118,"version":"3.37.3"},"reference-count":37,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,4,23]],"date-time":"2021-04-23T00:00:00Z","timestamp":1619136000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100004829","name":"Department of Science and Technology of Sichuan Province","doi-asserted-by":"publisher","award":["2019YFS0126"],"award-info":[{"award-number":["2019YFS0126"]}],"id":[{"id":"10.13039\/501100004829","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,4,23]]},"DOI":"10.1109\/icccs52626.2021.9449302","type":"proceedings-article","created":{"date-parts":[[2021,6,21]],"date-time":"2021-06-21T20:41:56Z","timestamp":1624308116000},"page":"328-334","source":"Crossref","is-referenced-by-count":5,"title":["RMS-SE-UNet: A Segmentation Method for Tumors in Breast Ultrasound Images"],"prefix":"10.1109","author":[{"given":"Zhu","family":"Honghan","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dong C.","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liu","family":"Jingyan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paul","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hao","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yulan","family":"Peng","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref33","first-page":"1","article-title":"Medical breast ultrasound image segmentation by machine learning[J]","volume":"91","author":"yuan","year":"2018","journal-title":"Ultrasonics"},{"journal-title":"Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images","year":"2019","author":"vakanski","key":"ref32"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.372"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/ICPR.2018.8545327"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.4304\/jait.2.1.63-70"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1002\/mp.13268"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2014.02.012"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"197","DOI":"10.4304\/jait.3.4.197-205","article-title":"Comparison of segmentation tools for multiple modalities in medical imaging[J]","volume":"3","author":"bhadoria","year":"2012","journal-title":"Journal of Advances in Information Technology"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1118\/1.1485995"},{"journal-title":"Breast ultrasound computer-aided diagnosis using structure-aware triplet path networks","year":"2019","author":"zhang","key":"ref11"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/83.701170"},{"key":"ref13","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Advances in neural information processing systems"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2016.2644615"},{"key":"ref16","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"International Conference on Medical Image Computing and Computer-Assisted Intervention"},{"journal-title":"Attention U-Net Learning where to look for the pancreas","year":"2018","author":"oktay","key":"ref17"},{"journal-title":"Recurrent residual convolutional neural network based on U-Net (R2U-Net) for medical image segmentation","year":"2018","author":"alom","key":"ref18"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-00889-5_1"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-42999-1_10"},{"journal-title":"Dynamic ReLU","year":"2020","author":"chen","key":"ref4"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.324"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105361"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2009.09.002"},{"key":"ref29","first-page":"120","article-title":"Deep learning brain regions in harvardoxford atlas using segnet model","author":"guimaraes","year":"2019","journal-title":"CASCON"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"101342s","DOI":"10.1117\/12.2254581","article-title":"Automated detection of masses on whole breast volume ultrasound scanner: false positive reduction using deep convolutional neural network","volume":"10134","author":"hiramatsu","year":"2017","journal-title":"Medical Imaging 2017 Computer-Aided Diagnosis"},{"key":"ref8","doi-asserted-by":"crossref","first-page":"101391e","DOI":"10.1117\/12.2254518","article-title":"Region growing segmentation of ultrasound images using gradients and local statistics","volume":"10139","author":"mercado-aguirre","year":"2017","journal-title":"Medical Imaging 2017 Ultrasonic Imaging and Tomography"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.2991\/jcis.2008.57"},{"key":"ref2","first-page":"439","article-title":"Breast cancer statistics, 2017","volume":"67","author":"de santis","year":"2017","journal-title":"racial disparity in mortality by state CA Cancer J Clin"},{"key":"ref9","first-page":"165","article-title":"Infantosi AFC. Segmentation of breast nodules on ultrasonographic images based on marke d-controlled watershed transform","volume":"14","author":"g\u00b4omcz","year":"2010","journal-title":"Computaci ´ on y Sistemas"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.7150\/ijbs.21635"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP40776.2020.9053405"},{"key":"ref22","first-page":"7132","article-title":"Squeeze-and-excitation networks","author":"hu","year":"2018","journal-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58529-7_21"},{"key":"ref23","article-title":"Rectified linear units improve restricted boltzmann machines","author":"nair","year":"2010","journal-title":"ICML"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/3DV.2016.79"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ACSSC.2003.1292216"}],"event":{"name":"2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)","start":{"date-parts":[[2021,4,23]]},"location":"Chengdu, China","end":{"date-parts":[[2021,4,26]]}},"container-title":["2021 IEEE 6th International Conference on Computer and Communication Systems (ICCCS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9449108\/9449090\/09449302.pdf?arnumber=9449302","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T15:42:25Z","timestamp":1652197345000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9449302\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,4,23]]},"references-count":37,"URL":"https:\/\/doi.org\/10.1109\/icccs52626.2021.9449302","relation":{},"subject":[],"published":{"date-parts":[[2021,4,23]]}}}