{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,22]],"date-time":"2026-01-22T04:08:14Z","timestamp":1769054894605,"version":"3.49.0"},"reference-count":24,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,7,18]],"date-time":"2021-07-18T00:00:00Z","timestamp":1626566400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100012166","name":"National Key-Area Research and Development Program of China","doi-asserted-by":"publisher","award":["2018YFB1404402"],"award-info":[{"award-number":["2018YFB1404402"]}],"id":[{"id":"10.13039\/501100012166","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,7,18]]},"DOI":"10.1109\/ijcnn52387.2021.9533523","type":"proceedings-article","created":{"date-parts":[[2021,9,20]],"date-time":"2021-09-20T21:27:41Z","timestamp":1632173261000},"page":"1-8","source":"Crossref","is-referenced-by-count":10,"title":["A novel chromosome instance segmentation method based on geometry and deep learning"],"prefix":"10.1109","author":[{"given":"Kaixin","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chengchuang","family":"Lin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Runhua","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gansen","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aihua","family":"Yin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanbiao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chun","family":"Shan","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruihua","family":"Nie","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuangyin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref10","first-page":"0","author":"lin","year":"2020","journal-title":"As-panet A chromosome instance segmentation method based on improved path aggregation network architecture"},{"key":"ref11","first-page":"72","article-title":"Siamese networks for chromosome classification","author":"jindal","year":"0","journal-title":"Proceedings of the IEEE International Conference on Computer Vision Workshops"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN.2018.8489321"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCBB.2020.3003445"},{"key":"ref14","first-page":"132","article-title":"A novel approach for segmentation of human metaphase chromosome images using region based active contours","volume":"16","author":"arora","year":"2019","journal-title":"Int Arab J Inf Technol"},{"key":"ref15","first-page":"101943","article-title":"A novel chromosome cluster types identification method using resnext wsl model","author":"lin","year":"2020","journal-title":"Medical Image Analysis"},{"key":"ref16","first-page":"2357","article-title":"Chromosome cluster identification framework based on geometric features and machine learning algorithms","author":"lin","year":"0","journal-title":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref18","first-page":"163","article-title":"A high resolution 3d surface construction algorithm","author":"cubes","year":"1987","journal-title":"Proceedings of the 14th Annual Conference on Computer Graphics and Interactive Techniques"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.7717\/peerj.453"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/SPMB.2014.7163174"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2012.6347213"},{"key":"ref6","article-title":"Image segmentation to distinguish between overlapping human chromosomes","author":"hu","year":"2017","journal-title":"ArXiv Preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICSAI.2018.8599328"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2951723"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2019.09.207"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1159\/isbn.978-3-318-05979-3","author":"mcgowan-jordan","year":"2016","journal-title":"ISCN 2016 An International Sys-temfor Human Cytogenomic Nomenclature (2016) Recommendations of the International Standing Human Committee on Human Cytogenomic Nomenclature Including New Sequence-based Cytogenomic"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-816561-4.00003-X"},{"key":"ref9","first-page":"0","author":"feng","year":"2020","journal-title":"Chromosome segmentation framework based on improved mask region-based convolutional neural network"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01150"},{"key":"ref22","first-page":"2825","article-title":"Scikit-learn: Machine learning in python","volume":"12","author":"pedregosa","year":"2011","journal-title":"The Journal of Machine Learning Research"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00913"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/JCSSE.2018.8457330"},{"key":"ref23","article-title":"Pytorch: An imperative style, high-performance deep learning library","author":"paszke","year":"2019","journal-title":"ArXiv Preprint"}],"event":{"name":"2021 International Joint Conference on Neural Networks (IJCNN)","location":"Shenzhen, China","start":{"date-parts":[[2021,7,18]]},"end":{"date-parts":[[2021,7,22]]}},"container-title":["2021 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9533266\/9533267\/09533523.pdf?arnumber=9533523","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,11,9]],"date-time":"2023-11-09T02:52:18Z","timestamp":1699498338000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9533523\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,18]]},"references-count":24,"URL":"https:\/\/doi.org\/10.1109\/ijcnn52387.2021.9533523","relation":{},"subject":[],"published":{"date-parts":[[2021,7,18]]}}}