A NEW DEEP LEARNING MODEL FOR SKIN CANCER CLASSIFICATION

A SRIJA; B. MURALI

A NEW DEEP LEARNING MODEL FOR SKIN CANCER CLASSIFICATION

Authors: A SRIJA, B. MURALI

Unique Paper ID: 167641
Volume: 11
Issue: 4
PageNo: 130-134

Keywords: Skin Cancer Damaged DNA Computerized Analysis Image Analysis Challenges Automatic Recognition

Abstract:
Skin cancer is one of the top three perilous types of cancer caused by damaged DNA that can cause death. This damaged DNA begins cells to grow uncontrollably and nowadays it is getting increased speedily. There exist some researches for the computerized analysis of malignancy in skin lesion images. However, analysis of these images is very challenging having some troublesome factors like light reflections from the skin surface, variations in color illumination, different shapes, and sizes of the lesions. As a result, evidential automatic recognition of skin cancer is valuable to build up the accuracy and proficiency of pathologists in the early stages.

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 4
PageNo: 130-134

A NEW DEEP LEARNING MODEL FOR SKIN CANCER CLASSIFICATION

Available:https://ijirt.org/Article?manuscript=167641

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