The OCDA-Net: a 3D convolutional neural network-based system for classification and staging of ovarian cancer patients using [18F]FDG PET/CT examinations
Author:
Funder
International Atomic Energy Agency
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s12149-023-01867-4.pdf
Reference37 articles.
1. Dondi F, Albano D, Bertagna F, Giubbini R. [18F] FDG PET/CT and CA-125 in the evaluation of ovarian cancer relapse or persistence: is there any correlation? Nucl Med Rev. 2022;25(2):78–84.
2. Ovarian Cancer—Cancer Stat Facts [Internet]. [cited 2023 Jan 2]. https://seer.cancer.gov/statfacts/html/ovary.html.
3. Perrone AM, Dondi G, Lima GM, Castellucci P, Tesei M, Coluccelli S, et al. Potential prognostic role of 18F-FDG PET/CT in invasive epithelial ovarian cancer relapse. A preliminary study. Cancers (Basel). 2019;11(5):713.
4. Wang J, Liu L, Pang H, Liu L, Jing X, Li Y. Preoperative PET/CT score can predict incomplete resection after debulking surgery for advanced serous ovarian cancer better than CT score, MTV, tumor markers and hematological markers. Acta Obstet Gynecol Scand. 2022;101(11):1315–27.
5. Salvi A, Hardy LR, Heath KN, Watry S, Pergande MR, Cologna SM, et al. PAX8 modulates the tumor microenvironment of high grade serous ovarian cancer through changes in the secretome. Neoplasia. 2023;36:100866.
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