ADMANI: Annotated Digital Mammograms and Associated Non-Image Datasets

Helen M L Frazer¹, Jennifer S N Tang¹, Michael S Elliott¹+19

• ¹St Vincent's BreastScreen (H.M.L.F., J.S.N.T., P.B.R., J.F.L.), Department of Surgery (J.F.L.), and Department of Radiology (P.B.), St Vincent's Hospital Melbourne, 41 Victoria Parade, Fitzroy, VIC 3065, Australia; BreastScreen Victoria, Melbourne, Australia (H.M.L.F., R.K.); Bioinformatics & Cellular Genomics Unit, St Vincent's Institute of Medical Research, Fitzroy, Australia (M.S.E., K.M.K., B.H., C.F.K., C.A.P.S., D.J.M.); School of Computer Science, Australian Institute for Machine Learning, University of Adelaide, Adelaide, Australia (Y.C., C.W., G.C.); Centre for Epidemiology & Biostatistics, Melbourne School of Population and Global Health (O.A.Q., S.K.F., S.L., E.M., T.L.N., D.F.S., J.L.H.), Department of Data Science and AI, Monash University, Melbourne, Australia (D.F.S.); and Melbourne Integrative Genomics, School of Mathematics and Statistics/School of BioSciences, Faculty of Science (D.J.M.), University of Melbourne, Melbourne, Australia.