Semantic modeling of cell damage prediction: a machine learning approach at human-level performance in dermatology

Machine learning is transforming the field of histopathology. Especially in classification related tasks, there have been many successful applications of deep learning already. Yet, in tasks that rely on regression and many niche applications, the domain lacks cohesive procedures that are adapted to...

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Detalles Bibliográficos
Autores principales: Wagner, Patrick, Springenberg, Maximilian, Kröger, Marius, Moritz, Rose K. C., Schleusener, Johannes, Meinke, Martina C., Ma, Jackie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205740/
https://www.ncbi.nlm.nih.gov/pubmed/37221254
http://dx.doi.org/10.1038/s41598-023-35370-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10205740/
https://www.ncbi.nlm.nih.gov/pubmed/37221254
http://dx.doi.org/10.1038/s41598-023-35370-7

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