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Machine Learning in Melanoma Diagnosis. Limitations About to be Overcome

Crossref DOI link: https://doi.org/10.1016/j.adengl.2019.09.003

Published Print: 2020-05

Update policy: https://doi.org/10.1016/elsevier_cm_policy

Authors

González-Cruz, C.

Jofre, M.A.

Podlipnik, S.

Combalia, M.

Gareau, D.

Gamboa, M.

Vallone, M.G.

Faride Barragán-Estudillo, Z.

Tamez-Peña, A.L.

Montoya, J.

América Jesús-Silva, M.

Carrera, C.

Malvehy, J.

Puig, S.
Funding

Funding for this research was provided by:

Agència de Gestió d'Ajuts Universitaris i de Recerca (2014_SGR_603, 2017_SGR_1134)

European Regional Development Fund

Centres de Recerca de Catalunya

Sixth Framework Programme (LSHC-CT-2006-018702)

European Commission

Fundació la Marató de TV3

Federación Española de Enfermedades Raras

Instituto de Salud Carlos III

Generalitat de Catalunya

Fundación Científica Asociación Española Contra el Cáncer
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Text and Data Mining valid from 2020-05-01

Text and Data Mining valid from 2020-05-01

Version of Record valid from 2020-09-03
More Information

This article is maintained by: Elsevier

Article Title: Machine Learning in Melanoma Diagnosis. Limitations About to be Overcome

Journal Title: Actas Dermo-Sifiliográficas (English Edition)

CrossRef DOI link to publisher maintained version: https://doi.org/10.1016/j.adengl.2019.09.003

CrossRef DOI link to the associated document: https://doi.org/10.1016/j.ad.2019.09.002

Content Type: article

Copyright: © 2020 AEDV. Published by Elsevier España, S.L.U.