共 62 条
- [1] Heer E(2020)Global burden and trends in premenopausal and postmenopausal breast cancer: a population-based study Lancet Glob Heal 8 e1027-e1037
- [2] Harper A(2021)Multifocality and multicentrality in breast cancer : comparison of the efficiency of mammography, contrast-enhanced spectral mammography, and magnetic resonance imaging in a group of patients with primarily operable breast cancer Curr Oncol 28 4016-4030
- [3] Escandor N(2019)Artificial intelligence in cancer imaging: clinical challenges and applications CA Cancer J Clin 69 127-157
- [4] Steinhof-Radwańska K(2021)Identifying normal mammograms in a large screening population using artificial intelligence Eur Radiol 31 1687-1692
- [5] Lorek A(2020)Evaluation of combined artificial intelligence and radiologist assessment to interpret screening mammogram JAMA Netw Open 3 1067-1070
- [6] Holecki M(2021)How will artificial intelligence impact breast cancer research efficiency? Expert Rev Anticancer Ther 21 e138-e148
- [7] Bi WL(2020)Changes in cancer detection and false-positive recall in mammography using artificial intelligence: a retrospective, multireader study Lancet Digit Health 2 4165-637
- [8] Hosny A(2021)Artificial intelligence (AI) to enhance breast cancer screening: protocol for population-based cohort study of cancer detection” BMJ Open 12 625-314
- [9] Schabath MB(2018)Detecting and classifying lesions in mammograms with deep learning Sci Rep 8 305-651
- [10] Lång K(2019)Improved cancer detection using artificial intelligence: a retrospective evaluation of missed cancers on mammography J Digit Imaging 32 642-536