Last Posted: Jun 30, 2020
- AI dual-stain approach improved accuracy, efficiency of cervical cancer screening in NCI study
NCI, June 2020
- Accuracy and Efficiency of Deep-Learning-Based Automation of Dual Stain Cytology in Cervical Cancer Screening.
Wentzensen Nicolas et al. Journal of the National Cancer Institute 2020 Jun
- Deep-Learning-Based Evaluation of Dual Stain Cytology for Cervical Cancer Screening: A New Paradigm.
Goodman Annekathryn et al. Journal of the National Cancer Institute 2020 Jun
- A prognostic nomogram integrating novel biomarkers identified by machine learning for cervical squamous cell carcinoma.
Li Yimin et al. Journal of translational medicine 2020 Jun 18(1) 223
- The challenges of colposcopy for cervical cancer screening in LMICs and solutions by artificial intelligence.
Xue Peng et al. BMC medicine 2020 Jun 18(1) 169
- Clinical Applications of Telemedicine in Gynecology and Women's Health.
Lee Siwon et al. Obstetrics and gynecology clinics of North America 2020 Jun 47(2) 259-270
- Computer-aided Cervical Cancer Diagnosis using Time-lapsed Colposcopic Images.
Li Yuexiang et al. IEEE transactions on medical imaging 2020 May
- Development and Validation of a Deep Learning Radiomics Model Predicting Lymph Node Status in Operable Cervical Cancer.
Dong Taotao et al. Frontiers in oncology 2020 10464
- OScc: an online survival analysis web server to evaluate the prognostic value of biomarkers in cervical cancer.
Wang Qiang et al. Future oncology (London, England) 2019 Nov 15(32) 3693-3699
- Identification of miRNA-mRNA Regulatory Network and Construction of Prognostic Signature in Cervical Cancer.
Mei Yong et al. DNA and cell biology 2020 Apr
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