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Frontiers Prediction of the histologic upgrade of ductal carcinoma in situ using a combined radiomics and machine learning approach based on breast dynamic contrast-enhanced magnetic resonance imaging
Adoption of artificial intelligence in breast imaging: evaluation, ethical constraints and limitations
NeurIPS 2023
Gender norms and health: insights from global survey data - The Lancet
Breast cancer classification with Keras and Deep Learning - PyImageSearch
The No. 1 Question to Ask When Evaluating AI Tools
Breast Cancer - Gynecology and Obstetrics - MSD Manual Professional Edition
Survey of methods and principles in three-dimensional reconstruction from two-dimensional medical images, Visual Computing for Industry, Biomedicine, and Art
Quantitative breast density measurement based on three-dimensional images: a study on cone-beam breast computed tomography - Aidi Liu, Lu Yin, Yue Ma, Peng Han, Yalin Wu, Yaopan Wu, Zhaoxiang Ye, 2022
Applied machine learning in cancer research: A systematic review for patient diagnosis, classification and prognosis - Computational and Structural Biotechnology Journal
The Debate Over Gadolinium MRI Contrast Toxicity
3D digital breast tomosynthesis versus US in evaluating breast asymmetries, Egyptian Journal of Radiology and Nuclear Medicine
