2D and 3D CT Radiomic Features Performance Comparison in
Characterization of Gastric Cancer: A Multi-center Study

2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study

IEEE journal of biomedical and health informatics (JBHI), 2020

29 October 2022

ArXiv (abs)PDF HTML

Papers citing "2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study"

4 / 4 papers shown

Title
iMD4GC: Incomplete Multimodal Data Integration to Advance Precise Treatment Response Prediction and Survival Analysis for Gastric Cancer Fengtao Zhou Ying Xu Yanfen Cui Shenyang Zhang Yun Zhu ... Louis Ho Shing Lau Chu Han Dafu Zhang Zhenhui Li Hao Chen 130 3 0 01 Apr 2024
Evaluating the Effectiveness of 2D and 3D Features for Predicting Tumor Response to Chemotherapy Neman Abdoli Ke Zhang Patrik W. Gilley Xuxin Chen Youkabed Sadri T. Thai Lauren Dockery Kathleen N. Moore Robert S. Mannel Yuchen Qiu 141 4 0 28 Mar 2023
A deep local attention network for pre-operative lymph node metastasis prediction in pancreatic cancer via multiphase CT imaging Zhilin Zheng Xu Fang Jiawen Yao Mengmeng Zhu Le Lu ... Hong Lu Jian-Ping Lu Ling Zhang C. Shao Yun Bian MedIm 114 1 0 04 Jan 2023
Practical X-ray Gastric Cancer Diagnostic Support Using Refined Stochastic Data Augmentation and Hard Boundary Box Training Hideaki Okamoto Takakiyo Nomura K. Nabeshima Jun Hashimoto Hitoshi Iyatomi Hitoshi Iyatomi 166 1 0 18 Aug 2021