{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,29]],"date-time":"2025-05-29T04:46:15Z","timestamp":1748493975599,"version":"3.28.0"},"reference-count":26,"publisher":"IEEE","license":[{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2021,10,25]],"date-time":"2021-10-25T00:00:00Z","timestamp":1635120000000},"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":[[2021,10,25]]},"DOI":"10.1109\/bibe52308.2021.9635175","type":"proceedings-article","created":{"date-parts":[[2021,12,15]],"date-time":"2021-12-15T15:48:07Z","timestamp":1639583287000},"page":"1-5","source":"Crossref","is-referenced-by-count":10,"title":["Deep Learning and Transfer Learning for Skin Cancer Segmentation and Classification"],"prefix":"10.1109","author":[{"given":"Lin","family":"Li","sequence":"first","affiliation":[]},{"given":"Wonseok","family":"Seo","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"ref10","doi-asserted-by":"crossref","first-page":"72","DOI":"10.3390\/diagnostics9030072","article-title":"Skin lesion segmentation in dermoscopic images with combination of YOLO and grabcut algorithm","volume":"9","author":"\u00fcnver","year":"2019","journal-title":"Diagnostics"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2017.2695227"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.2196\/11936"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2018.08.006"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2642839"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-75420-8_54"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2906241"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.cmpb.2020.105475"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0217293"},{"key":"ref19","first-page":"49","article-title":"Skin lesion classification from dermoscopic images using deep learning techniques","author":"lopez","year":"2017","journal-title":"2017 13th IASTED International Conference on Biomedical Engineering (BioMed) BioMed"},{"key":"ref4","first-page":"521","article-title":"ABCD rule of dermoscopy: a new practical method for early recognition of malignant melanoma","volume":"4","author":"stolz","year":"1994","journal-title":"Eur J Dermatol"},{"key":"ref3","first-page":"482","article-title":"Dermatoscopy in routine practice: 'chaos and clues'","volume":"41","author":"rosendahl","year":"2012","journal-title":"Aust Family Physician"},{"key":"ref6","article-title":"A systematic review of automated melanoma detection in dermatoscopic images and its ground truth data","author":"abder-rahman","year":"2012","journal-title":"Proc SPIE 8318 Medical Imaging 2012 Image Perception Observer Performance and Technology Assessment"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1001\/archderm.134.12.1563"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI.2017.7950522"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1080\/24699322.2017.1389405"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/S1470-2045(02)00679-4"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2019.2960504"},{"journal-title":"The Skin Cancer Found J","article-title":"Skin Cancer Facts & Statistics","year":"0","key":"ref1"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.3390\/s20061601"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1038\/sdata.2018.161"},{"journal-title":"Skin lesion analysis toward melanoma detection 2018 A challenge hosted by the international skin imaging collaboration (isic)","year":"2018","author":"codella","key":"ref21"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ICIP.2014.7025716"},{"key":"ref23","first-page":"740","article-title":"Microsoft coco: Common objects in context","author":"lin","year":"2014","journal-title":"European Conference on Computer Vision"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1111\/srt.12015"},{"key":"ref25","article-title":"Image Processing Algorithms Part 5: Contrast Adjustment","author":"fatima","year":"0","journal-title":"Dreamland Fantasy Studios"}],"event":{"name":"2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)","start":{"date-parts":[[2021,10,25]]},"location":"Kragujevac, Serbia","end":{"date-parts":[[2021,10,27]]}},"container-title":["2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9635006\/9635098\/09635175.pdf?arnumber=9635175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,5,10]],"date-time":"2022-05-10T12:54:33Z","timestamp":1652187273000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9635175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,25]]},"references-count":26,"URL":"https:\/\/doi.org\/10.1109\/bibe52308.2021.9635175","relation":{},"subject":[],"published":{"date-parts":[[2021,10,25]]}}}