CT-based deep learning radiomics nomogram for the prediction of pathological grade in bladder cancer: a multicenter study

BACKGROUND: To construct and assess a computed tomography (CT)-based deep learning radiomics nomogram (DLRN) for predicting the pathological grade of bladder cancer (BCa) preoperatively. METHODS: We retrospectively enrolled 688 patients with BCa (469 in the training cohort, 219 in the external test...

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Detalles Bibliográficos
Autores principales: Song, Hongzheng, Yang, Shifeng, Yu, Boyang, Li, Na, Huang, Yonghua, Sun, Rui, Wang, Bo, Nie, Pei, Hou, Feng, Huang, Chencui, Zhang, Meng, Wang, Hexiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507832/
https://www.ncbi.nlm.nih.gov/pubmed/37723572
http://dx.doi.org/10.1186/s40644-023-00609-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10507832/
https://www.ncbi.nlm.nih.gov/pubmed/37723572
http://dx.doi.org/10.1186/s40644-023-00609-z

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