{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,29]],"date-time":"2026-07-29T23:23:11Z","timestamp":1785367391478,"version":"3.55.0"},"reference-count":32,"publisher":"IEEE","license":[{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2020,7,1]],"date-time":"2020-07-01T00:00:00Z","timestamp":1593561600000},"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":[[2020,7]]},"DOI":"10.1109\/icccnt49239.2020.9225651","type":"proceedings-article","created":{"date-parts":[[2020,10,15]],"date-time":"2020-10-15T20:00:38Z","timestamp":1602792038000},"page":"1-7","source":"Crossref","is-referenced-by-count":26,"title":["Deep Learning Based Approach for Multiple Myeloma Detection"],"prefix":"10.1109","author":[{"given":"M.T.","family":"Vyshnav","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"V.","family":"Sowmya","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"E.A.","family":"Gopalakrishnan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sajith","family":"Variyar V.V.","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vijay Krishna","family":"Menon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"K,P.","family":"Soman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref32","author":"matterport","year":"0","journal-title":"Mask r-cnn coco weights"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2009.191"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2020.101788"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"92","DOI":"10.4103\/2228-7477.205503","article-title":"Segmentation of white blood cells from microscopic images using a novel combination of k-means clustering and modified watershed algorithm","volume":"7","author":"ghane","year":"2017","journal-title":"Journal of medical signals and sensors"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10916-019-1185-9"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1007\/s11517-019-01984-1"},{"key":"ref13","first-page":"382","article-title":"Classification of chronic myeloid leukemia cell subtypes based on microscopic image analysis","volume":"18","author":"ghane","year":"2019","journal-title":"EXCLI Journal"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1016\/j.clml.2017.03.178"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0207908"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/KST.2019.8687511"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.322"},{"key":"ref18","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"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2019.8759574"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1007\/s10278-013-9622-7"},{"key":"ref4","first-page":"1","article-title":"Plasma cells","author":"wols","year":"2001","journal-title":"ELS"},{"key":"ref27","author":"gupta","year":"2019","journal-title":"MiMM SBILab Dataset Microscopic Images of Multiple Myeloma The Cancer Imaging ArchiveO"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1055\/b-005-148949"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1002\/jemt.22718"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(14)70442-5"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1111\/j.1365-2141.2005.05867.x"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1016\/B978-0-12-818004-4.00005-4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1117\/1.JBO.22.8.086008"},{"key":"ref2","author":"guyton","year":"2006","journal-title":"Textbook of medical physiology 11th ed"},{"key":"ref9","author":"saiprasath","year":"2019","journal-title":"Performance comparison of machine learning algorithms for malaria detection using microscopic images"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1111\/jmi.12314"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3343031.3350535"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2014.81"},{"key":"ref21","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref24","author":"matterport","year":"2017","journal-title":"Mask r-cnn for object detection and instance segmentation on keras and tensorflow"},{"key":"ref23","first-page":"1440","article-title":"Fast r-cnn","author":"girshick","year":"2015","journal-title":"Proceedings of the IEEE International Conference on Computer Vision"},{"key":"ref26","year":"0","journal-title":"Unet for rgb images semantic segmentation"},{"key":"ref25","author":"johnson","year":"2018","journal-title":"Adapting mask-rcnn for automatic nucleus segmentation"}],"event":{"name":"2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)","location":"Kharagpur, India","start":{"date-parts":[[2020,7,1]]},"end":{"date-parts":[[2020,7,3]]}},"container-title":["2020 11th International Conference on Computing, Communication and Networking Technologies (ICCCNT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9211590\/9225262\/09225651.pdf?arnumber=9225651","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T00:21:59Z","timestamp":1656375719000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9225651\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,7]]},"references-count":32,"URL":"https:\/\/doi.org\/10.1109\/icccnt49239.2020.9225651","relation":{},"subject":[],"published":{"date-parts":[[2020,7]]}}}