Journal article
Melanoma Detection by Analysis of Clinical Images Using Convolutional Neural Network
Abstract
Melanoma, most threatening type of skin cancer, is on the rise. In this paper an implementation of a deep-learning system on a computer server, equipped with graphic processing unit (GPU), is proposed for detection of melanoma lesions. Clinical (non-dermoscopic) images are used in the proposed system, which could assist a dermatologist in early diagnosis of this type of skin cancer. In the proposed system, input clinical images, which could …
Authors
Nasr-Esfahani E; Samavi S; Karimi N; Soroushmehr SMR; Jafari MH; Ward K; Najarian K
Journal
Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Vol. 2016, , pp. 1373–1376
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
8 2016
DOI
10.1109/embc.2016.7590963
ISSN
1557-170X