Last Posted: May 21, 2024
- Public health nurse perspectives on predicting nonattendance for cervical cancer screening through classification, ensemble, and deep learning models.
Seeta Devi et al. Public Health Nurs 2024 - Daily AI-Based Treatment Adaptation under Weekly Offline MR Guidance in Chemoradiotherapy for Cervical Cancer 1: The AIM-C1 Trial.
Fabian Weykamp et al. J Clin Med 2024 13(4) - Molecular landscape of ERBB2/HER2 gene amplification among patients with gynecologic malignancies; clinical implications and future directions.
Dimitrios Nasioudis et al. Gynecol Oncol 2023 1801-5 - Delta radiomics analysis for prediction of intermediary- and high-risk factors for patients with locally advanced cervical cancer receiving neoadjuvant therapy.
Rong-Rong Wu et al. Sci Rep 2023 13(1) 19409 - A machine learning-based prediction model of pelvic lymph node metastasis in women with early-stage cervical cancer.
Kamonrat Monthatip et al. J Gynecol Oncol 2023 - Artificial intelligence and visual inspection in cervical cancer screening.
Carolyn Nakisige et al. Int J Gynecol Cancer 2023 - The spectrum of MAPK-ERK pathway genomic alterations in gynecologic malignancies: Opportunities for novel therapeutic approaches.
Dimitrios Nasioudis et al. Gynecol Oncol 2023 17786-94 - Development and validation of a deep learning algorithm for pattern-based classification system of cervical cancer from pathological sections.
Wei Tian et al. Heliyon 2023 9(8) e19229 - Identification of lymph node metastasis in pre-operation cervical cancer patients by weakly supervised deep learning from histopathological whole-slide biopsy images.
Qingqing Liu et al. Cancer Med 2023 - Validation of Automated Visual Evaluation (AVE) on Smartphone Images for Cervical Cancer Screening in a Prospective Study in Zambia.
Liming Hu et al. medRxiv 2023
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