Deep Learning Approach to Classify Cutaneous Melanoma in a Whole Slide Image

SIMPLE SUMMARY: In this paper, we investigate the application of deep learning for classifying whole-slide images of cutaneous histopathological specimens into melanoma and non-melanoma. To do so, we used a total of 66 images (33 melanomas and 33 non-melanomas) to train models and evaluated them on...

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Detalles Bibliográficos
Autores principales: Li, Meng, Abe, Makoto, Nakano, Shigeo, Tsuneki, Masayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047087/
https://www.ncbi.nlm.nih.gov/pubmed/36980793
http://dx.doi.org/10.3390/cancers15061907

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10047087/
https://www.ncbi.nlm.nih.gov/pubmed/36980793
http://dx.doi.org/10.3390/cancers15061907

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