Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models-Reference-Cited by-同舟云学术

Prediction of carcinogenic human papillomavirus types in cervical cancer from multiparametric magnetic resonance images with machine learning-based radiomics models

Published:2023-05-01 Issue:3 Volume:29 Page:460-468
ISSN:1305-3825
Container-title:Diagnostic and Interventional Radiology
language:
Short-container-title:dir

Author:

İnce Okan^ORCID,Uysal Emre^ORCID,Durak Görkem^ORCID,Önol Suzan^ORCID,Dönmez Yılmaz Binnur^ORCID,Ertürk Şükrü Mehmet^ORCID,Önder Hakan^ORCID

Publisher

Galenos Yayinevi

Subject

Cardiology and Cardiovascular Medicine,Radiology, Nuclear Medicine and imaging

Reference35 articles.

1. 1. Bailey HH, Chuang LT, duPont NC, et al. American Society of Clinical Oncology Statement: Human Papillomavirus Vaccination for Cancer Prevention. J Clin Oncol. 2016;34(15):1803-1812. [CrossRef]

2. 2. Cancer Genome Atlas Research Network; Albert Einstein College of Medicine; Analytical Biological Services, et al. Integrated genomic and molecular characterization of cervical cancer. Nature. 2017;543(7645):378-384. [CrossRef]

3. 3. No authors listed. National Institutes of Health Consensus Development Conference statement on cervical cancer. April 1-3, 1996. Gynecol Oncol. 1997;66(3):351-361. [CrossRef]

4. 4. Muñoz N, Bosch FX, de Sanjosé S, Shah K V. The role of HPV in the etiology of cervical cancer. Mutat Res. 1994;305(2):293-301. [CrossRef]

5. 5. Shukla S, Bharti AC, Mahata S, et al. Infection of human papillomaviruses in cancers of different human organ sites. Indian J Med Res. 2009;130(3):222-233. [CrossRef]

Cited by 1 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. A comprehensive review for machine learning based human papillomavirus detection in forensic identification with multiple medical samples;Frontiers in Microbiology;2023-07-17