Effective Melanoma Recognition Using Deep Convolutional Neural Network with Covariance Discriminant Loss

Melanoma recognition is challenging due to data imbalance and high intra-class variations and large inter-class similarity. Aiming at the issues, we propose a melanoma recognition method using deep convolutional neural network with covariance discriminant loss in dermoscopy images. Deep convolutiona...

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Detalles Bibliográficos
Autores principales: Guo, Lei, Xie, Gang, Xu, Xinying, Ren, Jinchang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Letter
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601957/
https://www.ncbi.nlm.nih.gov/pubmed/33066123
http://dx.doi.org/10.3390/s20205786

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7601957/
https://www.ncbi.nlm.nih.gov/pubmed/33066123
http://dx.doi.org/10.3390/s20205786

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