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Skin Lesion Segmentation in Clinical Images Using...
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Skin Lesion Segmentation in Clinical Images Using Deep Learning

Abstract

Melanoma is the most aggressive form of skin cancer and is on rise. There exists a research trend for computerized analysis of suspicious skin lesions for malignancy using images captured by digital cameras. Analysis of these images is usually challenging due to existence of disturbing factors such as illumination variations and light reflections from skin surface. One important stage in diagnosis of melanoma is segmentation of lesion region …

Authors

Jafari MH; Karimi N; Nasr-Esfahani E; Samavi S; Soroushmchr SMR; Ward K; Najarian K

Pagination

pp. 337-342

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

January 1, 2016

DOI

10.1109/icpr.2016.7899656

Name of conference

2016 23rd International Conference on Pattern Recognition (ICPR)