Pan-tumor CAnine cuTaneous Cancer Histology (CATCH) dataset

Due to morphological similarities, the differentiation of histologic sections of cutaneous tumors into individual subtypes can be challenging. Recently, deep learning-based approaches have proven their potential for supporting pathologists in this regard. However, many of these supervised algorithms...

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Detalles Bibliográficos
Autores principales: Wilm, Frauke, Fragoso, Marco, Marzahl, Christian, Qiu, Jingna, Puget, Chloé, Diehl, Laura, Bertram, Christof A., Klopfleisch, Robert, Maier, Andreas, Breininger, Katharina, Aubreville, Marc
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515104/
https://www.ncbi.nlm.nih.gov/pubmed/36167846
http://dx.doi.org/10.1038/s41597-022-01692-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9515104/
https://www.ncbi.nlm.nih.gov/pubmed/36167846
http://dx.doi.org/10.1038/s41597-022-01692-w

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