Conference
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)