Classification of melanoma images with fisher vectors and deep learning

The present work corresponds to the application of techniques of data mining and deep training of neural networks (deep learning) with the objective of classifying images of moles in ‘Melanomas’ or ‘No Melanomas’. For this purpose an ensemble of three classifiers will be created. The first correspon...

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Guardado en:
Detalles Bibliográficos
Publicado: 2019
Materias:
Deep learning
Fisher vectors
Melanoma classification
Convolution
Data mining
Dermatology
Image classification
Oncology
Support vector machines
Vectors
Convolutional networks
Descriptors
Hybrid model
Net networks
Segmented images
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v11401LNCS_n_p732_Liberman
http://hdl.handle.net/20.500.12110/paper_03029743_v11401LNCS_n_p732_Liberman
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires

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