Machine Learning Based on Morphological Features Enables Classification of Primary Intestinal T-Cell Lymphomas

SIMPLE SUMMARY: We presented a machine learning approach for accurate quantification of nuclear morphometrics and differential diagnosis of primary intestinal T-cell lymphomas. The human interpretable machine learning approach can be easily applied to other lymphomas and potentially even broader dis...

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Detalles Bibliográficos
Autores principales: Yu, Wei-Hsiang, Li, Chih-Hao, Wang, Ren-Ching, Yeh, Chao-Yuan, Chuang, Shih-Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582405/
https://www.ncbi.nlm.nih.gov/pubmed/34771625
http://dx.doi.org/10.3390/cancers13215463

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8582405/
https://www.ncbi.nlm.nih.gov/pubmed/34771625
http://dx.doi.org/10.3390/cancers13215463

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