Survival Prediction in Gallbladder Cancer Using CT Based Machine Learning
ObjectiveTo establish a classifier for accurately predicting the overall survival of gallbladder cancer (GBC) patients by analyzing pre-treatment CT images using machine learning technology.MethodsThis retrospective study included 141 patients with pathologically confirmed GBC. After obtaining the p...
Main Authors: | Zefan Liu, Guannan Zhu, Xian Jiang, Yunuo Zhao, Hao Zeng, Jing Jing, Xuelei Ma |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2020-11-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2020.604288/full |
Similar Items
-
The preoperative prognostic value of the radiomics nomogram based on CT combined with machine learning in patients with intrahepatic cholangiocarcinoma
by: Youyin Tang, et al.
Published: (2021-08-01) -
Editorial: Novel Methods for Oncologic Imaging Analysis: Radiomics, Machine Learning, and Artificial Intelligence
by: Hanyue Xu, et al.
Published: (2021-07-01) -
Application of artificial neural network in the CT study of cholesterol and adenomatous gallbladder polyps
by: Long Jin, et al.
Published: (2023-07-01) -
Ultrasound Radiomics Effective for Preoperative Identification of True and Pseudo Gallbladder Polyps Based on Spatial and Morphological Features
by: Hai-xia Yuan, et al.
Published: (2020-09-01) -
Survival analysis and prognostic factors of the carcinoma of gallbladder
by: Zainab Feroz, et al.
Published: (2022-12-01)