Lesion identification and malignancy prediction from clinical dermatological images

We consider machine-learning-based lesion identification and malignancy prediction from clinical dermatological images, which can be indistinctly acquired via smartphone or dermoscopy capture. Additionally, we do not assume that images contain single lesions, thus the framework supports both focal o...

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Detalles Bibliográficos
Autores principales: Xia, Meng, Kheterpal, Meenal K., Wong, Samantha C., Park, Christine, Ratliff, William, Carin, Lawrence, Henao, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508136/
https://www.ncbi.nlm.nih.gov/pubmed/36151257
http://dx.doi.org/10.1038/s41598-022-20168-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9508136/
https://www.ncbi.nlm.nih.gov/pubmed/36151257
http://dx.doi.org/10.1038/s41598-022-20168-w

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