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Statistics report
Oct
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
  Journal Paper


Paper Title :
Comparative Analysis on Melanoma Classification Techniques using Machine Learning and Deep Learning

Author :G.Pavithra

Article Citation :G.Pavithra , (2020 ) " Comparative Analysis on Melanoma Classification Techniques using Machine Learning and Deep Learning " , International Journal of Advances in Science, Engineering and Technology(IJASEAT) , pp. 11-16, Volume-8,Issue-4

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

Type : Research paper

Published : Volume-8,Issue-4


DOIONLINE NO - IJASEAT-IRAJ-DOIONLINE-17582   View Here

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