Cargando…
Development and validation of MRI‐based deep learning models for prediction of microsatellite instability in rectal cancer
BACKGROUND: Microsatellite instability (MSI) predetermines responses to adjuvant 5‐fluorouracil and immunotherapy in rectal cancer and serves as a prognostic biomarker for clinical outcomes. Our objective was to develop and validate a deep learning model that could preoperatively predict the MSI sta...
Autores principales: | Zhang, Wei, Yin, Hongkun, Huang, Zixing, Zhao, Jian, Zheng, Haoyu, He, Du, Li, Mou, Tan, Weixiong, Tian, Song, Song, Bin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8209621/ https://www.ncbi.nlm.nih.gov/pubmed/33963688 http://dx.doi.org/10.1002/cam4.3957 |
Ejemplares similares
-
Data mining of an acoustic biomarker in tongue cancers and its clinical validation
por: Xiao, Yudong, et al.
Publicado: (2021) -
Prognostic value of CCR2 as an immune indicator in lung adenocarcinoma: A study based on tumor‐infiltrating immune cell analysis
por: Wan, Yi, et al.
Publicado: (2021) -
Construction of circRNA‐based ceRNA network and its prognosis‐associated subnet of clear cell renal cell carcinoma
por: Zhang, Yuwei, et al.
Publicado: (2021) -
Artificial intelligence in oncology: Path to implementation
por: Chua, Isaac S., et al.
Publicado: (2021) -
Identifying a molecular profile to predict the risk of recurrence in high‐intermediate risk endometrial cancer
por: Arend, Rebecca C., et al.
Publicado: (2021)