A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features
A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features
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Author / Creator
Publisher
United States: Hindawi
Journal title
Language
English
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Publisher
United States: Hindawi
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Scope and Contents
Contents
The main purpose of this study is to observe the importance of machine vision (MV) approach for the identification of five types of skin cancers, namely, actinic-keratosis, benign, solar-lentigo, malignant, and nevus. The 1000 (200 × 5) benchmark image datasets of skin cancers are collected from the International Skin Imaging Collaboration (ISIC)....
Alternative Titles
Full title
A Machine Vision Approach for Classification of Skin Cancer Using Hybrid Texture Features
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Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9313960
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_9313960
Other Identifiers
ISSN
1687-5265,1687-5273
E-ISSN
1687-5273
DOI
10.1155/2022/4942637
