Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images-Reference-Cited by-同舟云学术

Automated multi-class classification of skin lesions through deep convolutional neural network with dermoscopic images

Published:2021-03 Issue: Volume:88 Page:101843
ISSN:0895-6111
Container-title:Computerized Medical Imaging and Graphics
language:en
Short-container-title:Computerized Medical Imaging and Graphics

Author:

Iqbal Imran^ORCID,Younus Muhammad,Walayat Khuram^ORCID,Kakar Mohib Ullah^ORCID,Ma Jinwen^ORCID

Funder

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference42 articles.

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4. A methodological approach to the classification of dermoscopy images;Celebi;Comput. Med. Imaging Graph.,2007

5. Skin Lesion Analyser: An Efficient Seven-Way Multi-class Skin Cancer Classification Using MobileNet;Chaturvedi,2019

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