June 11, 2024, 4:47 a.m. | Eddy Solomon, Patricia M. Johnson, Zhengguo Tan, Radhika Tibrewala, Yvonne W. Lui, Florian Knoll, Linda Moy, Sungheon Gene Kim, Laura Heacock

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.05270v1 Announce Type: cross
Abstract: This data curation work introduces the first large-scale dataset of radial k-space and DICOM data for breast DCE-MRI acquired in diagnostic breast MRI exams. Our dataset includes case-level labels indicating patient age, menopause status, lesion status (negative, benign, and malignant), and lesion type for each case. The public availability of this dataset and accompanying reconstruction code will support research and development of fast and quantitative breast image reconstruction and machine learning methods.

abstract acquired age arxiv case contrast cs.cv cs.lg curation data data curation dataset diagnostic dicom dynamic eess.iv exams labels mri negative patient physics.med-ph scale space type work

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