Artificial intelligence in breast cancer: application and future perspectives
Author:
Funder
The Fourth Round of Ningbo City’s Key Medical Disciplines Development Plan
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Oncology,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s00432-023-05337-2.pdf
Reference76 articles.
1. Alsharif WM (2023) The utilization of artificial intelligence applications to improve breast cancer detection and prognosis. Saudi Med J 44(2):119–127. https://doi.org/10.15537/smj.2023.44.2.20220611
2. Araujo T, Aresta G, Castro E et al (2017) Classification of breast cancer histology image using convolutional neural networks. PLoS One 12(6):e0177544
3. Ayatollahi F, Shokouhi SB, Mann RM, Teuwen J (2021) Automatic breast lesion detection in ultrafast DCE-MRI using deep learning. Med Phys 48:5897–5907
4. Bera K, Schalper KA, Rimm DL et al (2019) Artificial intelligence in digital pathology-new tools for diagnosis and precision oncology. Nat Rev Clin Oncol 16(11):703–715
5. Bickelhaupt S, Paech D, Kickingereder P et al (2017) Prediction of malignancy by a radiomic signature from contrast agent-free diffusion MRI in suspicious breast lesions found on screening mammography. J Magn Reson Imaging 46(2):604–616
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