Inicio  /  Cancers  /  Vol: 13 Par: 6 (2021)  /  Artículo
ARTÍCULO
TITULO

Computer-Aided Segmentation and Machine Learning of Integrated Clinical and Diffusion-Weighted Imaging Parameters for Predicting Lymph Node Metastasis in Endometrial Cancer

Lan-Yan Yang    
Tiing Yee Siow    
Yu-Chun Lin    
Ren-Chin Wu    
Hsin-Ying Lu    
Hsin-Ju Chiang    
Chih-Yi Ho    
Yu-Ting Huang    
Yen-Ling Huang    
Yu-Bin Pan    
Angel Chao    
Chyong-Huey Lai and Gigin Lin    

Resumen

Computer-aided segmentation and machine learning added values of clinical parameters and diffusion-weighted imaging radiomics for predicting nodal metastasis in endometrial cancer, with a diagnostic performance superior to criteria based on lymph node size or apparent diffusion coefficient.

PÁGINAS
pp. 0 - 0
REVISTAS SIMILARES

 Artículos similares