The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma

The predictive value of radiomics and deep learning for synchronous distant metastasis in clear cell renal cell carcinoma

Abstract Objective The objective of this research was to devise and authenticate a predictive model that employs CT radiomics and deep learning methodologies for the accurate prediction of synchronous distant metastasis (SDM) in clear cell renal cell carcinoma (ccRCC). Methods A total of 143 ccRCC p...

Full description

Saved in:
Bibliographic Details
Main Authors: Wan-Bin He, Chuan Zhou, Zhi-Jun Yang, Yun-Feng Zhang, Wen-Bo Zhang, Han He, Jia Wang, Feng-Hai Zhou
Format: Article
Language:English
Published: Springer 2025-01-01
Series:Discover Oncology
Subjects:
Radiomics
Deep learning
Renal clear cell carcinoma
Simultaneous distant metastasis
Online Access:https://doi.org/10.1007/s12672-025-01806-x
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doi.org/10.1007/s12672-025-01806-x

Similar Items