Discrimination Between Invasive and In Situ Melanomas Using Clinical Close-Up Images and a De Novo Convolutional Neural Network

Background: Melanomas are often easy to recognize clinically but determining whether a melanoma is in situ (MIS) or invasive is often more challenging even with the aid of dermoscopy. Recently, convolutional neural networks (CNNs) have made significant and rapid advances within dermatology image ana...

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Detalles Bibliográficos
Autores principales: Polesie, Sam, Gillstedt, Martin, Ahlgren, Gustav, Ceder, Hannah, Dahlén Gyllencreutz, Johan, Fougelberg, Julia, Johansson Backman, Eva, Pakka, Jenna, Zaar, Oscar, Paoli, John
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476836/
https://www.ncbi.nlm.nih.gov/pubmed/34595193
http://dx.doi.org/10.3389/fmed.2021.723914

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8476836/
https://www.ncbi.nlm.nih.gov/pubmed/34595193
http://dx.doi.org/10.3389/fmed.2021.723914

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