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Machine learning and radiomics for segmentation and classification of adnexal masses on ultrasound.
Barcroft JF, Linton-Reid K, Landolfo C, Al-Memar M, Parker N, Kyriacou C, Munaretto M, Fantauzzi M, Cooper N, Yazbek J, Bharwani N, Lee SR, Kim JH, Timmerman D, Posma J, Savelli L, Saso S, Aboagye EO, Bourne T. Barcroft JF, et al. Among authors: timmerman d. NPJ Precis Oncol. 2024 Feb 20;8(1):41. doi: 10.1038/s41698-024-00527-8. NPJ Precis Oncol. 2024. PMID: 38378773 Free PMC article.
Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) Group.
Timmerman D, Valentin L, Bourne TH, Collins WP, Verrelst H, Vergote I; International Ovarian Tumor Analysis (IOTA) Group. Timmerman D, et al. Ultrasound Obstet Gynecol. 2000 Oct;16(5):500-5. doi: 10.1046/j.1469-0705.2000.00287.x. Ultrasound Obstet Gynecol. 2000. PMID: 11169340 Free article. Review. No abstract available.
Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group.
Timmerman D, Testa AC, Bourne T, Ferrazzi E, Ameye L, Konstantinovic ML, Van Calster B, Collins WP, Vergote I, Van Huffel S, Valentin L; International Ovarian Tumor Analysis Group. Timmerman D, et al. J Clin Oncol. 2005 Dec 1;23(34):8794-801. doi: 10.1200/JCO.2005.01.7632. J Clin Oncol. 2005. PMID: 16314639
479 results