Deep learning-based multimodal image analysis for cervical cancer detection
Author:
Publisher
Elsevier BV
Subject
General Biochemistry, Genetics and Molecular Biology,Molecular Biology
Reference44 articles.
1. Estimates of incidence and mortality of cervical cancer in 2018: a worldwide analysis;Arbyn;Lancet Global Health,2020
2. Cervical cancer: Esmo clinical practice guidelines for diagnosis, treatment and follow-up;Marth;Ann. Oncol.,2017
3. Pet in cervical cancer–implications forstaging’,treatment planning, assessment of prognosis, and prediction of response;Gold;J. Natl. Compr. Canc. Netw.,2008
4. Fdg-pet imaging in cervical cancer;Gandy;Seminars Nucl. Med.,2019
5. Pet/ct imaging to guide cervical cancer therapy;Grigsby;Future Oncol.,2009
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