Skin Cancer Detection Based on Deep Learning.

ABSTRACT:

Background

The conventional procedure of skin-related disease detection is a visual inspection by a dermatologist or a primary care clinician, using a dermatoscope. The suspected patients with early signs of skin cancer are referred for biopsy and histopathological examination to ensure the correct diagnosis and the best treatment. Recent advancements in deep convolutional neural networks (CNNs) have achieved excellent performance in automated skin cancer classification with accuracy similar to that of dermatologists. However, such improvements are yet to bring about a clinically trusted and popular system for skin cancer detection.

Objective

This study aimed to propose viable deep learning (DL) based method for the detection of skin cancer in lesion images, to help physicia

SUBMITTER: Ahmadi Mehr R 

PROVIDER: S-EPMC9759648 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature