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Application of deep learning on mammographies to discriminate between low and high-risk DCIS for patient participation in active surveillance trials.
Alaeikhanehshir S, Voets MM, van Duijnhoven FH, Lips EH, Groen EJ, van Oirsouw MCJ, Hwang SE, Lo JY, Wesseling J, Mann RM, Teuwen J; Grand Challenge PRECISION Consortium Steering Group. Alaeikhanehshir S, et al. Among authors: teuwen j. Cancer Imaging. 2024 Apr 5;24(1):48. doi: 10.1186/s40644-024-00691-x. Cancer Imaging. 2024. PMID: 38576031 Free PMC article.
Application of Deep Learning in Breast Cancer Imaging.
Balkenende L, Teuwen J, Mann RM. Balkenende L, et al. Among authors: teuwen j. Semin Nucl Med. 2022 Sep;52(5):584-596. doi: 10.1053/j.semnuclmed.2022.02.003. Epub 2022 Mar 24. Semin Nucl Med. 2022. PMID: 35339259 Free article. Review.
Clinicopathological and prognostic value of calcification morphology descriptors in ductal carcinoma in situ of the breast: a systematic review and meta-analysis.
van Leeuwen MM, Doyle S, van den Belt-Dusebout AW, van der Mierden S, Loo CE, Mann RM, Teuwen J, Wesseling J. van Leeuwen MM, et al. Among authors: teuwen j. Insights Imaging. 2023 Dec 5;14(1):213. doi: 10.1186/s13244-023-01529-z. Insights Imaging. 2023. PMID: 38051355 Free PMC article. Review.
Computer-aided diagnosis of masses in breast computed tomography imaging: deep learning model with combined handcrafted and convolutional radiomic features.
Caballo M, Hernandez AM, Lyu SH, Teuwen J, Mann RM, van Ginneken B, Boone JM, Sechopoulos I. Caballo M, et al. Among authors: teuwen j. J Med Imaging (Bellingham). 2021 Mar;8(2):024501. doi: 10.1117/1.JMI.8.2.024501. Epub 2021 Mar 29. J Med Imaging (Bellingham). 2021. PMID: 33796604 Free PMC article.
50 results