DOIONLINE 
DOIONLINE Publish In |
International Journal of Advances in Science, Engineering and Technology(IJASEAT)-IJASEAT |
 Journal Home Volume Issue |
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Issue |
Volume-8,Issue-4 ( Oct, 2020 ) | |||||||||
Paper Title |
Comparative Analysis on Melanoma Classification Techniques using Machine Learning and Deep Learning | |||||||||
Author Name |
G.Pavithra | |||||||||
Affilition |
Assistant Professor, Ambal Professional Group of Institutions, Palladam, India | |||||||||
Pages |
11-16 | |||||||||
Abstract |
This paper presents various analysis techniques and designs used for the diagnosis of Melanoma. The dermoscopic and biopsy image samples are used by various Machine Learning and Deep Learning methods, which plays a vital role in detection and classification of Malignant melanoma. The real time alert model to the users for the early prediction and prevention, the malignancy can be reduced and this model is highly in demand. Keywords - Malignant Melanoma, Machine Learning, Deep Learning, Real Time Alert, Dermoscopy, Biopsy | |||||||||
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