An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Abstract
Malignant melanoma, not belongs to a common type of skin cancers but most serious because of its growth—affecting large number of people worldwide. Recent studies proclaimed that risk factors can be substantially reduced by making it almost treatable, if detected at its early stages. This timely detection and classification demand an automated system, though procedure is quite complex. In this article, a novel strategy is adopted, which not only...
Paper Details
Title
An integrated framework of skin lesion detection and recognition through saliency method and optimal deep neural network features selection
Published Date
Nov 8, 2019
Volume
32
Issue
20
Pages
15929 - 15948
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