Superpixel-Based Conditional Random Fields (SuperCRF): Incorporating Global and Local Context for Enhanced Deep Learning in Melanoma Histopathology

Computational pathology-based cell classification algorithms are revolutionizing the study of the tumor microenvironment and can provide novel predictive/prognosis biomarkers crucial for the delivery of precision oncology. Current algorithms used on hematoxylin and eosin slides are based on individu...

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Detalles Bibliográficos
Autores principales: Zormpas-Petridis, Konstantinos, Failmezger, Henrik, Raza, Shan E Ahmed, Roxanis, Ioannis, Jamin, Yann, Yuan, Yinyin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Oncology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798642/
https://www.ncbi.nlm.nih.gov/pubmed/31681583
http://dx.doi.org/10.3389/fonc.2019.01045

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6798642/
https://www.ncbi.nlm.nih.gov/pubmed/31681583
http://dx.doi.org/10.3389/fonc.2019.01045

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