Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models

Arshed, Muhammad asad; Mumtaz, Shahzad; Ibrahim, Muhammad; Ahmed, Saeed; Tahir, Muhammad; Shafi, Muhammad

Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models

dc.contributor.author	Arshed, Muhammad asad
dc.contributor.author	Mumtaz, Shahzad
dc.contributor.author	Ibrahim, Muhammad
dc.contributor.author	Ahmed, Saeed
dc.contributor.author	Tahir, Muhammad
dc.contributor.author	Shafi, Muhammad
dc.date.accessioned	2023-11-09T15:23:00Z
dc.date.available	2023-11-09T15:23:00Z
dc.date.issued	2023-07
dc.description.status	Peer reviewed	en
dc.format.extent	14
dc.format.extent	2721859
dc.identifier	281561350
dc.identifier	3199c166-8c72-42bd-ae6b-a606945fb1e5
dc.identifier	85166386318
dc.identifier.citation	Arshed, M A, Mumtaz, S, Ibrahim, M, Ahmed, S, Tahir, M & Shafi, M 2023, 'Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models', Information, vol. 14, no. 7, 415. https://doi.org/10.3390/info14070415	en
dc.identifier.doi	10.3390/info14070415
dc.identifier.iss	7	en
dc.identifier.issn	2078-2489
dc.identifier.other	crossref: 10.3390/info14070415
dc.identifier.other	ORCID: /0000-0003-2606-2405/work/146550156
dc.identifier.uri	https://hdl.handle.net/2164/22154
dc.identifier.url	https://www.mdpi.com/2078-2489/14/7/415	en
dc.identifier.vol	14	en
dc.language.iso	eng
dc.relation.ispartof	Information	en
dc.subject	SDG 3 - Good Health and Well-being	en
dc.subject	skin cancer diagnosis	en
dc.subject	multi-class	en
dc.subject	vision transformer	en
dc.subject	pretrained models	en
dc.subject	fine tuning	en
dc.subject	transfer learning	en
dc.subject	data augmentation	en
dc.subject	RC0254 Neoplasms. Tumors. Oncology (including Cancer)	en
dc.subject	QA76 Computer software	en
dc.subject.lcc	RC0254	en
dc.subject.lcc	QA76	en
dc.title	Multi-Class Skin Cancer Classification Using Vision Transformer Networks and Convolutional Neural Network-Based Pre-Trained Models	en
dc.type	Journal article	en

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