Machine learning can aid in prediction of IDH mutation from H&E-stained histology slides in infiltrating gliomas

While Machine Learning (ML) models have been increasingly applied to a range of histopathology tasks, there has been little emphasis on characterizing these models and contrasting them with human experts. We present a detailed empirical analysis comparing expert neuropathologists and ML models at pr...

Descripción completa

Detalles Bibliográficos
Autores principales: Liechty, Benjamin, Xu, Zhuoran, Zhang, Zhilu, Slocum, Cheyanne, Bahadir, Cagla D., Sabuncu, Mert R., Pisapia, David J.
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/PMC9805452/
https://www.ncbi.nlm.nih.gov/pubmed/36587030
http://dx.doi.org/10.1038/s41598-022-26170-6

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9805452/
https://www.ncbi.nlm.nih.gov/pubmed/36587030
http://dx.doi.org/10.1038/s41598-022-26170-6

Ejemplares similares