SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables-Reference-Cited by-同舟云学术

SurvivalCNN: A deep learning-based method for gastric cancer survival prediction using radiological imaging data and clinicopathological variables

Published:2022-12 Issue: Volume:134 Page:102424
ISSN:0933-3657
Container-title:Artificial Intelligence in Medicine
language:en
Short-container-title:Artificial Intelligence in Medicine

Author:

Hao Degan^ORCID,Li Qiong,Feng Qiu-Xia,Qi Liang,Liu Xi-Sheng,Arefan Dooman,Zhang Yu-Dong,Wu Shandong

Publisher

Elsevier BV

Subject

Artificial Intelligence,Medicine (miscellaneous)

Reference34 articles.

1. Cancer statistics in China, 2015;Chen;CA: Cancer J Clin,2016

2. Predicting individual survival after gastric cancer resection: Validation of a US-derived nomogram at a single high-volume center in Europe;Novotny;Ann Surg,2006

3. Validation of the American Joint Committee on Cancer (AJCC) stage system for gastric cancer patients: A population-based analysis;He;Gastric Cancer,2018

4. Validation of the 8th edition of the AJCC TNM staging system for gastric cancer using the National Cancer Database;In;Ann Surg Oncol,2017

5. Multi-institutional validation of the 8th AJCC TNM staging system for gastric cancer: Analysis of survival data from high-volume eastern centers and the SEER database;Son;J Surg Oncol,2019

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