Large-scale computations on histology images reveal grade-differentiating parameters for breast cancer

BACKGROUND: Tumor classification is inexact and largely dependent on the qualitative pathological examination of the images of the tumor tissue slides. In this study, our aim was to develop an automated computational method to classify Hematoxylin and Eosin (H&E) stained tissue sections based on...

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Detalles Bibliográficos
Autores principales: Petushi, Sokol, Garcia, Fernando U, Haber, Marian M, Katsinis, Constantine, Tozeren, Aydin
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2006
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1634843/
https://www.ncbi.nlm.nih.gov/pubmed/17069651
http://dx.doi.org/10.1186/1471-2342-6-14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1634843/
https://www.ncbi.nlm.nih.gov/pubmed/17069651
http://dx.doi.org/10.1186/1471-2342-6-14

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