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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2021
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Materias: | |
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 |
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