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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Detalles Bibliográficos
Autores principales: Almaraz-Damian, Jose-Agustin, Ponomaryov, Volodymyr, Sadovnychiy, Sergiy, Castillejos-Fernandez, Heydy
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516968/
https://www.ncbi.nlm.nih.gov/pubmed/33286257
http://dx.doi.org/10.3390/e22040484

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7516968/
https://www.ncbi.nlm.nih.gov/pubmed/33286257
http://dx.doi.org/10.3390/e22040484

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