The use of deep learning on endoscopic images to assess the response of rectal cancer after chemoradiation

BACKGROUND: Accurate response evaluation is necessary to select complete responders (CRs) for a watch-and-wait approach. Deep learning may aid in this process, but so far has never been evaluated for this purpose. The aim was to evaluate the accuracy to assess response with deep learning methods bas...

Descripción completa

Detalles Bibliográficos
Autores principales: Haak, Hester E., Gao, Xinpei, Maas, Monique, Waktola, Selam, Benson, Sean, Beets-Tan, Regina G. H., Beets, Geerard L., van Leerdam, Monique, Melenhorst, Jarno
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001548/
https://www.ncbi.nlm.nih.gov/pubmed/34642794
http://dx.doi.org/10.1007/s00464-021-08685-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001548/
https://www.ncbi.nlm.nih.gov/pubmed/34642794
http://dx.doi.org/10.1007/s00464-021-08685-7

Ejemplares similares