Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

Melanoma and Nevus Skin Lesion Classification Using Handcraft and Deep Learning Feature Fusion via Mutual Information Measures

In this paper, a new Computer-Aided Detection (CAD) system for the detection and classification of dangerous skin lesions (melanoma type) is presented, through a fusion of handcraft features related to the medical algorithm ABCD rule (Asymmetry Borders-Colors-Dermatoscopic Structures) and deep learn...

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Bibliographic Details
Main Authors: Jose-Agustin Almaraz-Damian, Volodymyr Ponomaryov, Sergiy Sadovnychiy, Heydy Castillejos-Fernandez
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Entropy
Subjects:
fusion
handcraft
deep learning
melanoma
convolutional neural networks
transfer learning
Online Access:https://www.mdpi.com/1099-4300/22/4/484

Internet

https://www.mdpi.com/1099-4300/22/4/484

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