Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort study-Reference-Cited by-同舟云学术

Artificial intelligence aided precise detection of local recurrence on MRI for nasopharyngeal carcinoma: a multicenter cohort study

Published:2023-09 Issue: Volume:63 Page:102202
ISSN:2589-5370
Container-title:eClinicalMedicine
language:en
Short-container-title:eClinicalMedicine

Author:

OuYang Pu-Yun,He Yun^ORCID,Guo Jian-Gui,Liu Jia-Ni,Wang Zhi-Long,Li Anwei,Li Jiajian,Yang Shan-Shan,Zhang Xu,Fan Wei,Wu Yi-Shan,Liu Zhi-Qiao,Zhang Bao-Yu,Zhao Ya-Nan,Gao Ming-Yong,Zhang Wei-Jun,Xie Chuan-Miao,Xie Fang-Yun^ORCID

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Sun Yat-sen University

Guangzhou Municipal Science and Technology Program key projects

Publisher

Elsevier BV

Subject

General Medicine

Reference31 articles.

1. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries;Sung;CA Cancer J Clin,2021

2. Concurrent chemoradiotherapy with/without induction chemotherapy in locoregionally advanced nasopharyngeal carcinoma: long-term results of phase 3 randomized controlled trial;Li;Int J Cancer,2019

3. Endoscopic surgery compared with intensity-modulated radiotherapy in resectable locally recurrent nasopharyngeal carcinoma: a multicentre, open-label, randomised, controlled, phase 3 trial;Liu;Lancet Oncol,2021

4. Prognostic model for stratification of radioresistant nasopharynx carcinoma to curative salvage radiotherapy;Li;J Clin Oncol,2018

5. Patterns of care and treatment outcomes for local recurrence of NPC after definite IMRT-A study by the HKNPCSG;Ng;Head Neck,2019

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Artificial Intelligence in Head and Neck Cancer: Innovations, Applications, and Future Directions;Current Oncology;2024-09-06

2. Promoting smartphone-based keratitis screening using meta-learning: A multicenter study;Journal of Biomedical Informatics;2024-09

3. Parsed Region Feature Extraction Method for Hepatocellular Carcinoma Detection Using Medical Images;2024 Third International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN);2024-07-18

4. Convolutional neural network for identifying common bile duct stones based on magnetic resonance cholangiopancreatography;Clinical Radiology;2024-07

5. Deciphering the Prognostic Efficacy of MRI Radiomics in Nasopharyngeal Carcinoma: A Comprehensive Meta-Analysis;Diagnostics;2024-04-29