Artificial Intelligence Applications in Medical Imaging
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-64049-0_6
Reference67 articles.
1. Najjar R (2023). Redefining Radiology: A Review of Artificial Intelligence Integration in Medical Imaging. Diagnostics; 3, 2760. https://doi.org/10.3390/diagnostics13172760
2. European Society of Radiology (ESR) (2019) What the radiologist should know about artificial intelligence—an ESR white paper. Insights Imaging 10, 44
3. Hosny A (2018) Parmar, C.; Quackenbush, J.; Schwartz, L.H.; Aerts, H.J. Artificial intelligence in radiology. Nat. Rev. Cancer 2018, 18, 500–510.
4. Pesapane F, Codari M, Sardanelli F (2018) Artificial intelligence in medical imaging: threat or opportunity? Radiologists again at the forefront of innovation in medicine. Eur Radiol Exp 2, 35. https://doi.org/10.1186/s41747-018-0061-6
5. Kim M, Yun J, Cho Y, Shin K, Jang R, Bae H-j, Kim N (2019) Deep Learning in Medical Imaging. Neurospine;16(4):657–668. https://doi.org/10.14245/ns.1938396.198
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