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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Detalhes bibliográficos

Principais autores:	Jose-Agustin Almaraz-Damian, Volodymyr Ponomaryov, Sergiy Sadovnychiy, Heydy Castillejos-Fernandez
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2020-04-01
coleção:	Entropy
Assuntos:	fusion handcraft deep learning melanoma convolutional neural networks transfer learning
Acesso em linha:	https://www.mdpi.com/1099-4300/22/4/484
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