Domain-specific transfer learning in the automated scoring of tumor-stroma ratio from histopathological images of colorectal cancer

Tumor-stroma ratio (TSR) is a prognostic factor for many types of solid tumors. In this study, we propose a method for automated estimation of TSR from histopathological images of colorectal cancer. The method is based on convolutional neural networks which were trained to classify colorectal cancer...

Descripción completa

Detalles Bibliográficos
Autores principales: Petäinen, Liisa, Väyrynen, Juha P., Ruusuvuori, Pekka, Pölönen, Ilkka, Äyrämö, Sami, Kuopio, Teijo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218718/
https://www.ncbi.nlm.nih.gov/pubmed/37235626
http://dx.doi.org/10.1371/journal.pone.0286270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10218718/
https://www.ncbi.nlm.nih.gov/pubmed/37235626
http://dx.doi.org/10.1371/journal.pone.0286270

Ejemplares similares