Identification of metastatic primary cutaneous squamous cell carcinoma utilizing artificial intelligence analysis of whole slide images

Cutaneous squamous cell carcinoma (cSCC) harbors metastatic potential and causes mortality. However, clinical assessment of metastasis risk is challenging. We approached this challenge by harnessing artificial intelligence (AI) algorithm to identify metastatic primary cSCCs. Residual neural network-...

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Detalles Bibliográficos
Autores principales: Knuutila, Jaakko S., Riihilä, Pilvi, Karlsson, Antti, Tukiainen, Mikko, Talve, Lauri, Nissinen, Liisa, Kähäri, Veli-Matti
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/PMC9197840/
https://www.ncbi.nlm.nih.gov/pubmed/35701439
http://dx.doi.org/10.1038/s41598-022-13696-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9197840/
https://www.ncbi.nlm.nih.gov/pubmed/35701439
http://dx.doi.org/10.1038/s41598-022-13696-y

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