Novel deep learning radiomics model for preoperative evaluation of hepatocellular carcinoma differentiation based on computed tomography data
Guardado en:
Autores principales: | Yong Ding, Shijian Ruan, Yubizhuo Wang, Jiayuan Shao, Rui Sun, Wuwei Tian, Nan Xiang, Weigang Ge, Xiuming Zhang, Kunkai Su, Jingwen Xia, Qiang Huang, Weihai Liu, Qinxue Sun, Haibo Dong, Mylène C. Q. Farias, Tiannan Guo, Andrey S. Krylov, Wenjie Liang, Wenbo Xiao, Xueli Bai, Tingbo Liang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
Wiley
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/7d08af4ccace4c098793973fdff89429 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Preoperative CT-Based Radiomics Combined With Nodule Type to Predict the Micropapillary Pattern in Lung Adenocarcinoma of Size 2 cm or Less: A Multicenter Study
por: Meirong Li, et al.
Publicado: (2021) -
Radiomics Analysis of Contrast-Enhanced CT for the Preoperative Prediction of Microvascular Invasion in Mass-Forming Intrahepatic Cholangiocarcinoma
por: Fei Xiang, et al.
Publicado: (2021) -
Preoperative prediction of perineural invasion with multi-modality radiomics in rectal cancer
por: Yu Guo, et al.
Publicado: (2021) -
A radiomics-based model for predicting prognosis of locally advanced gastric cancer in the preoperative setting
por: Jaeseung Shin, et al.
Publicado: (2021) -
Magnetic resonance imaging-based radiomics signature for preoperative prediction of Ki67 expression in bladder cancer
por: Zongtai Zheng, et al.
Publicado: (2021)