Classification of Skin Lesion using Image Processing: Machine Learning, Deep Learning, Ensemble Learning and Shallow Neural Network - Brossura

Arora, Ginni

Brossura

ISBN 10: 6206162990 ISBN 13: 9786206162995

Casa editrice: LAP LAMBERT Academic Publishing, 2023

Riassunto

Skin Cancer is the most dangerous type of cancer. The early detection and action can severely reduce the death rate. The advanced technology like machine learning and deep learning makes the possibility of identifying the accurate type of skin disease. The book covers the concept of artificial intelligence, machine learning, deep learning, ensemble learning and shallow neural network in analysis of skin lesion. It also talks about the computer aided diagnostic system in which complete phases from image acquisition, preprocessing, feature extraction, feature reduction and classification through various algorithms is showcased. The database plays a vital role in accurate classification. In this, we have considered the standard dataset for seven types of skin diseases from International Skin Imaging Collaboration(ISIC). The role of DEnSha(Deep, Ensemble and Shallow neural network) is elaborated for early detection and classification of skin disease keeping the performance measures in consideration.

Dettagli dell'edizione

• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 6206162990
• ISBN 13: 9786206162995
• Rilegatura: Copertina flessibile
• Numero di pagine: 104
• Contatto del produttore: non disponibile
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