Skin lesion classification using ensembles of multi-resolution EfficientNets with meta data

In this paper, we describe our method for the ISIC 2019 Skin Lesion Classification Challenge. The challenge comes with two tasks. For task 1, skin lesions have to be classified based on dermoscopic images. For task 2, dermoscopic images and additional patient meta data are used. Our deep learning-ba...

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Detalles Bibliográficos
Autores principales: Gessert, Nils, Nielsen, Maximilian, Shaikh, Mohsin, Werner, René, Schlaefer, Alexander
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Computer Science
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150512/
https://www.ncbi.nlm.nih.gov/pubmed/32292713
http://dx.doi.org/10.1016/j.mex.2020.100864

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150512/
https://www.ncbi.nlm.nih.gov/pubmed/32292713
http://dx.doi.org/10.1016/j.mex.2020.100864

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