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

Arora, Ginni

 
9786206162995: Classification of Skin Lesion using Image Processing: Machine Learning, Deep Learning, Ensemble Learning and Shallow Neural Network
Brossura
ISBN 10: 6206162990 ISBN 13: 9786206162995
Casa editrice: LAP LAMBERT Academic Publishing, 2023

Sinossi

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.

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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
Persona responsabile
KreGa Onlinehandel GmbH
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info@krega-onlinehandel.de

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