Next-Generation Morphometry for pathomics-data mining in histopathology

Pathology diagnostics relies on the assessment of morphology by trained experts, which remains subjective and qualitative. Here we developed a framework for large-scale histomorphometry (FLASH) performing deep learning-based semantic segmentation and subsequent large-scale extraction of interpretabl...

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Detalles Bibliográficos
Autores principales: Hölscher, David L., Bouteldja, Nassim, Joodaki, Mehdi, Russo, Maria L., Lan, Yu-Chia, Sadr, Alireza Vafaei, Cheng, Mingbo, Tesar, Vladimir, Stillfried, Saskia V., Klinkhammer, Barbara M., Barratt, Jonathan, Floege, Jürgen, Roberts, Ian S. D., Coppo, Rosanna, Costa, Ivan G., Bülow, Roman D., Boor, Peter
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/PMC9884209/
https://www.ncbi.nlm.nih.gov/pubmed/36709324
http://dx.doi.org/10.1038/s41467-023-36173-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884209/
https://www.ncbi.nlm.nih.gov/pubmed/36709324
http://dx.doi.org/10.1038/s41467-023-36173-0

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