An automated surgical decision-making framework for partial or radical nephrectomy based on 3D-CT multi-level anatomical features in renal cell carcinoma

OBJECTIVES: To determine whether 3D-CT multi-level anatomical features can provide a more accurate prediction of surgical decision-making for partial or radical nephrectomy in renal cell carcinoma. METHODS: This is a retrospective study based on multi-center cohorts. A total of 473 participants with...

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Detalles Bibliográficos
Autores principales: Yang, Huancheng, Wu, Kai, Liu, Hanlin, Wu, Peng, Yuan, Yangguang, Wang, Lei, Liu, Yaru, Zeng, Haoyang, Li, Junkai, Liu, Weihao, Wu, Song
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2023
Materias:
Imaging Informatics and Artificial Intelligence
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598088/
https://www.ncbi.nlm.nih.gov/pubmed/37289245
http://dx.doi.org/10.1007/s00330-023-09812-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10598088/
https://www.ncbi.nlm.nih.gov/pubmed/37289245
http://dx.doi.org/10.1007/s00330-023-09812-9

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