Survival rate prediction of nasopharyngeal carcinoma patients based on <scp>MRI</scp> and gene expression using a deep neural network-Reference-Cited by-同舟云学术

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Survival rate prediction of nasopharyngeal carcinoma patients based on MRI and gene expression using a deep neural network

Published:2023-01-09 Issue:4 Volume:114 Page:1596-1605
ISSN:1347-9032
Container-title:Cancer Science
language:en
Short-container-title:Cancer Science

Author:

Zhang Qihao¹^ORCID,Wu Gang²,Yang Qianyu³,Dai Ganmian³,Li Tiansheng³,Chen Pianpian⁴,Li Jiao⁴,Huang Weiyuan³^ORCID

Affiliation:

1. Department of Radiology Weill Cornell Medical College New York New York USA

2. Department of Radiotherapy Hainan General Hospital Hainan China

3. Department of Radiology Hainan General Hospital Hainan China

4. Department of Pathology Hainan General Hospital Hainan China

Funder

National Natural Science Foundation of China

Publisher

Wiley

Subject

Cancer Research,Oncology,General Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/cas.15704

Reference55 articles.

1. Nasopharyngeal carcinoma

2. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries

3. Efficacy of the hypoxia-activated prodrug evofosfamide (TH-302) in nasopharyngeal carcinoma in vitro and in vivo

4. Anti-EGFR therapies in nasopharyngeal carcinoma

5. Nasopharyngeal carcinoma

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1. Computer Vision—Radiomics & Pathognomics;Otolaryngologic Clinics of North America;2024-10

2. The Role of PTEN in Nasopharyngeal Carcinoma;Frontiers in Bioscience-Landmark;2024-05-10

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

4. Application of Artificial Intelligence to the Diagnosis and Therapy of Nasopharyngeal Carcinoma;Journal of Clinical Medicine;2023-04-24

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