Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer-Reference-Cited by-同舟云学术

Machine Learning–Based Computational Models Derived From Large-Scale Radiographic-Radiomic Images Can Help Predict Adverse Histopathological Status of Gastric Cancer

Published:2019-10 Issue:10 Volume:10 Page:e00079
ISSN:2155-384X
Container-title:Clinical and Translational Gastroenterology
language:en
Short-container-title:Clinical and Translational Gastroenterology

Author:

Li Qiong,Qi Liang,Feng Qiu-Xia,Liu Chang,Sun Shu-Wen,Zhang Jing,Yang Guang,Ge Ying-Qian,Zhang Yu-Dong,Liu Xi-Sheng

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Gastroenterology

Reference36 articles.

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4. Proposal of a new stage grouping of gastric cancer for TNM classification: International Gastric Cancer Association staging project

5. Recent developments and innovations in gastric cancer

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