{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,20]],"date-time":"2026-07-20T19:24:45Z","timestamp":1784575485293,"version":"3.55.0"},"reference-count":49,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"4","license":[{"start":{"date-parts":[[2017,4,1]],"date-time":"2017-04-01T00:00:00Z","timestamp":1491004800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"}],"funder":[{"name":"Research Grants Council of the Hong Kong Special Administrative Region","award":["CUHK 14203115"],"award-info":[{"award-number":["CUHK 14203115"]}]},{"name":"Research Grants Council of the Hong Kong Special Administrative Region","award":["CUHK 14202514"],"award-info":[{"award-number":["CUHK 14202514"]}]},{"DOI":"10.13039\/501100003453","name":"Guangdong Natural Science Foundation","doi-asserted-by":"publisher","award":["2016A030313047"],"award-info":[{"award-number":["2016A030313047"]}],"id":[{"id":"10.13039\/501100003453","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. Med. Imaging"],"published-print":{"date-parts":[[2017,4]]},"DOI":"10.1109\/tmi.2016.2642839","type":"journal-article","created":{"date-parts":[[2016,12,21]],"date-time":"2016-12-21T21:34:13Z","timestamp":1482356053000},"page":"994-1004","source":"Crossref","is-referenced-by-count":966,"title":["Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks"],"prefix":"10.1109","volume":"36","author":[{"given":"Lequan","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hao","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Qi","family":"Dou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Qin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Pheng-Ann","family":"Heng","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.164"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298965"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/72.279181"},{"key":"ref32","doi-asserted-by":"crossref","DOI":"10.5244\/C.30.87","article-title":"Wide residual networks","author":"zagoruyko","year":"2016"},{"key":"ref31","article-title":"Deep residual learning for image recognition","author":"he","year":"2015"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2015.7298594"},{"key":"ref37","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-319-46493-0_38","article-title":"Identity mappings in deep residual networks","author":"he","year":"2016"},{"key":"ref36","article-title":"Batch normalization: Accelerating deep network training by reducing internal covariate shift","author":"ioffe","year":"2015"},{"key":"ref35","article-title":"Deeplysupervised nets","author":"lee","year":"2014"},{"key":"ref34","first-page":"249","article-title":"Understanding the difficulty of training deep feedforward neural networks","author":"glorot","year":"2010","journal-title":"Proc Int Conf Artif Intell Statist"},{"key":"ref28","article-title":"Computational limitations of small-depth circuits","author":"h\u00e5stad","year":"1987"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/BF01272517"},{"key":"ref29","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014"},{"key":"ref2","article-title":"Cancer statistics, 2016","author":"siegel","year":"2015","journal-title":"CA Cancer J Clinicians"},{"key":"ref1","first-page":"357","article-title":"Early detection and treatment of skin cancer","volume":"62","author":"jerant","year":"2000","journal-title":"Amer Family Phys"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528129"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.273"},{"key":"ref21","first-page":"234","article-title":"U-net: Convolutional networks for biomedical image segmentation","author":"ronneberger","year":"2015","journal-title":"Proc Int Conf Med Image Comput Comput -Assist Intervent"},{"key":"ref24","first-page":"1097","article-title":"Imagenet classification with deep convolutional neural networks","author":"krizhevsky","year":"2012","journal-title":"Proc Adv Neural Inf Process Syst"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"118","DOI":"10.1007\/978-3-319-24888-2_15","article-title":"Deep learning, sparse coding, and SVM for melanoma recognition in dermoscopy images","author":"codella","year":"2015","journal-title":"Machine Learning in Medical Imaging"},{"key":"ref26","first-page":"248","article-title":"ImageNet: A large-scale hierarchical image database","author":"deng","year":"2009","journal-title":"Proc IEEE Conf Comput Vis Pattern Recognit (CVPR)"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2016.7493528"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-007-5389-1_4"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/11889762_1"},{"key":"ref40","article-title":"Deep learning using linear support vector machines","author":"tang","year":"2013"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/42.918473"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.compmedimag.2007.01.003"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1007\/s12293-014-0144-8"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2536809"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535865"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2528162"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535302"},{"key":"ref19","first-page":"520","article-title":"A new 2.5D representation for lymph node detection using random sets of deep convolutional neural network observations","author":"roth","year":"2014","journal-title":"Medical Image Computing and Computer-Assisted Intervention&#x2014;MICCAI"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1200\/JCO.2001.19.16.3635"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1016\/S0190-9622(99)70010-1"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/JSTSP.2008.2011119"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/archderm.1995.01690150050011"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1111\/j.1600-0846.2007.00192.x"},{"key":"ref7","article-title":"An overview of melanoma detection in dermoscopy images using image processing and machine learning","author":"mishra","year":"2016"},{"key":"ref49","article-title":"Towards Bayesian deep learning: A survey","author":"wang","year":"2016"},{"key":"ref9","doi-asserted-by":"crossref","first-page":"53","DOI":"10.1111\/j.1600-0846.2007.00261.x","article-title":"Skin lesion classification using relative color features","volume":"14","author":"cheng","year":"2008","journal-title":"Skin Res Technol"},{"key":"ref46","first-page":"740","article-title":"Microsoft COCO: Common objects in context","author":"lin","year":"2014","journal-title":"Vision Computer"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1145\/1273496.1273556"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.179"},{"key":"ref47","article-title":"Instance-aware semantic segmentation via multi-task network cascades","author":"dai","year":"2015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1145\/2647868.2654889"},{"key":"ref41","article-title":"Skin lesion analysis toward melanoma detection: A challenge at the international symposium on biomedical imaging (ISBI) 2016, hosted by the international skin imaging collaboration (ISIC)","author":"gutman","year":"2016"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2553401"},{"key":"ref43","article-title":"Gland segmentation in colon histology images: The GlaS challenge contest","author":"sirinukunwattana","year":"2016"}],"container-title":["IEEE Transactions on Medical Imaging"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/42\/7891082\/07792699.pdf?arnumber=7792699","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,21]],"date-time":"2024-06-21T10:29:30Z","timestamp":1718965770000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/7792699\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,4]]},"references-count":49,"journal-issue":{"issue":"4"},"URL":"https:\/\/doi.org\/10.1109\/tmi.2016.2642839","relation":{},"ISSN":["0278-0062","1558-254X"],"issn-type":[{"value":"0278-0062","type":"print"},{"value":"1558-254X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,4]]}}}