AUTOMATED DETECTION AND SEGMENTATION OF VASCULAR STRUCTURES OF SKIN LESIONS: A SURVEY OF EXISTING TECHNIQUES
Journal Title: International Journal of Computer Engineering & Technology (IJCET) - Year 2019, Vol 10, Issue 1
Abstract
Skin cancer accounts to be a standout amongst the most prevalent types of carcinoma ailments, particularly among Caucasian offspring and pale-skinned persons. Specifically, the melanocytic dermis lesion are conjectured as the most lethal among three pervasive skin carcinoma ailments and the second most communal type amongst youthful grown-ups who are 15-29 years old. These apprehensions have impelled the requirement of automated systems for the diagnosis of skin carcinomas within a limited time frame to reduce unnecessary biopsy, proliferating the momentum of diagnosis and giving reproducibility of indicative outcomes. In this survey paper a brief overview of automated detection and segmentation of vascular structures of skin lesions is presented
Authors and Affiliations
KOMAL SHARMA and SANJAY MADAAN
Keywords
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- EP ID EP46504
- DOI 10.34218/IJCET.10.1.2019.003
- Views 301
- Downloads 0
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