{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T01:15:00Z","timestamp":1780362900731,"version":"3.54.1"},"reference-count":50,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Access"],"published-print":{"date-parts":[[2022]]},"DOI":"10.1109\/access.2022.3217217","type":"journal-article","created":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T23:22:33Z","timestamp":1667517753000},"page":"113715-113725","source":"Crossref","is-referenced-by-count":139,"title":["A Deep Learning Approach Based on Explainable Artificial Intelligence for Skin Lesion Classification"],"prefix":"10.1109","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6517-666X","authenticated-orcid":false,"given":"Natasha","family":"Nigar","sequence":"first","affiliation":[{"name":"Department of Computer Science (RCET), University of Engineering and Technology, Lahore, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad","family":"Umar","sequence":"additional","affiliation":[{"name":"Tekhqs Inc., Irvine, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Kashif","family":"Shahzad","sequence":"additional","affiliation":[{"name":"Power Information Technology Company (PITC), Ministry of Energy, Power Division, Government of Pakistan, Lahore, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7818-6728","authenticated-orcid":false,"given":"Shahid","family":"Islam","sequence":"additional","affiliation":[{"name":"Department of Computer Science (RCET), University of Engineering and Technology, Lahore, Pakistan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Douhadji","family":"Abalo","sequence":"additional","affiliation":[{"name":"Départment of Mathematics, University of Lomé, Lomé, Togo"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1002\/9780471462422.eoct979"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.21236\/ADA164453"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.3390\/make3030027"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939778"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1016\/j.media.2022.102470"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.3390\/diagnostics9030072"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.319"},{"key":"ref36","first-page":"1","article-title":"The HAM10000 dataset, a large collection of multi-source dermatoscopic images of common pigmented skin lesions","volume":"5","author":"tschandl","year":"2018","journal-title":"Data Science Journal"},{"key":"ref35","author":"erol","year":"2018","journal-title":"Skin Cancer Malignancy Classification with Transfer Learning"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.2471\/BLT.18.211607"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1088\/1361-6560\/ab86d3"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-33850-3_6"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.tice.2019.04.009"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.19101\/IJACR.2021.1152001"},{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3322\/caac.21601"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-80432-9_1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/ISBI45749.2020.9098645"},{"key":"ref21","doi-asserted-by":"crossref","first-page":"115","DOI":"10.1038\/nature21056","article-title":"Dermatologist-level classification of skin cancer with deep neural networks","volume":"542","author":"esteva","year":"2017","journal-title":"Nature"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-02628-8_16"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-84060-0_16"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2877587"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2020.2972964"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.308"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CIBEC.2018.8641815"},{"key":"ref40","article-title":"Visualizing deep neural network decisions: Prediction difference analysis","author":"zintgraf","year":"2017","journal-title":"arXiv 1702 04595"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.3390\/s18020556"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18178\/ijmlc.2018.8.1.664"},{"key":"ref13","doi-asserted-by":"crossref","first-page":"597","DOI":"10.24425\/ijet.2019.129818","article-title":"Skin lesion analysis toward melanoma detection using deep learning techniques","volume":"65","author":"sherif","year":"2019","journal-title":"Int J Electron Telecommun"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.3390\/electronics11060904"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.neunet.2014.09.003"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-016-0043-6"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ejca.2019.04.001"},{"key":"ref18","article-title":"Towards a rigorous science of interpretable machine learning","author":"doshi-velez","year":"2017","journal-title":"arXiv 1702 08608"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref4","first-page":"483","article-title":"Dermoscopy of pigmented skin lesions*(part ii)","volume":"11","author":"soyer","year":"2001","journal-title":"Eur J Dermatol"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2019.00334"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8857334"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.4103\/ijdpdd.ijdpdd_10_17"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.5194\/isprsarchives-XL-5-W6-73-2015"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1186\/s40537-019-0197-0"},{"key":"ref49","first-page":"120","article-title":"Confusion matrix-based feature selection","volume":"710","author":"visa","year":"2011","journal-title":"Proc CEUR Workshop"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3003890"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.91"},{"key":"ref45","first-page":"1","article-title":"A unified approach to interpreting model predictions","volume":"30","author":"lundberg","year":"2017","journal-title":"Adv Neural Inf Process Syst"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1109\/ICIBT52874.2022.9807725"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/1015706.1015720"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref41","article-title":"Very deep convolutional networks for large-scale image recognition","author":"simonyan","year":"2014","journal-title":"arXiv 1409 1556"},{"key":"ref44","first-page":"5437","article-title":"PH2—A dermoscopic image database for research and benchmarking","author":"mendon\u00e7a","year":"2013","journal-title":"Proc 35th Annu Int Conf IEEE Eng Med Biol Soc (EMBC)"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1109\/2.410145"}],"container-title":["IEEE Access"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/6287639\/9668973\/09930511.pdf?arnumber=9930511","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T06:14:04Z","timestamp":1728281644000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9930511\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022]]},"references-count":50,"URL":"https:\/\/doi.org\/10.1109\/access.2022.3217217","relation":{},"ISSN":["2169-3536"],"issn-type":[{"value":"2169-3536","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022]]}}}