A virtual biopsy study of microsatellite instability in gastric cancer based on deep learning radiomics

OBJECTIVES: This study aims to develop and validate a virtual biopsy model to predict microsatellite instability (MSI) status in preoperative gastric cancer (GC) patients based on clinical information and the radiomics of deep learning algorithms. METHODS: A total of 223 GC patients with MSI status...

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Detalles Bibliográficos
Autores principales: Jiang, Zinian, Xie, Wentao, Zhou, Xiaoming, Pan, Wenjun, Jiang, Sheng, Zhang, Xianxiang, Zhang, Maoshen, Zhang, Zhenqi, Lu, Yun, Wang, Dongsheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Vienna 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247640/
https://www.ncbi.nlm.nih.gov/pubmed/37286810
http://dx.doi.org/10.1186/s13244-023-01438-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10247640/
https://www.ncbi.nlm.nih.gov/pubmed/37286810
http://dx.doi.org/10.1186/s13244-023-01438-1

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