Prediction of pathological staging and grading of renal clear cell carcinoma based on deep learning algorithms

OBJECTIVE: Deep learning algorithms were used to develop a model for predicting the staging and grading of renal clear cell carcinoma to inform clinicians’ treatment plans. METHODS: Clinical and pathological information was collected from 878 patients diagnosed with renal clear cell carcinoma in the...

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Detalles Bibliográficos
Autores principales: Wen-zhi, Gao, Tai, Tian, Zhixin, Fu, Huanyu, Liang, Yanqing, Gong, Yuexian, Guo, Xuesong, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Retrospective Clinical Research Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679350/
https://www.ncbi.nlm.nih.gov/pubmed/36396624
http://dx.doi.org/10.1177/03000605221135163

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679350/
https://www.ncbi.nlm.nih.gov/pubmed/36396624
http://dx.doi.org/10.1177/03000605221135163

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