Data Characterization for Reliable AI in Medicine
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-23599-3_1
Reference24 articles.
1. Alzubaidi, L., et al.: Review of deep learning: concepts, CNN architectures, challenges, applications, future directions. J. Big Data 8(1), 1–74 (2021). https://doi.org/10.1186/s40537-021-00444-8
2. Suzuki, K.: Overview of deep learning in medical imaging. Radiol. Phys. Technol. 10(3), 257–273 (2017). https://doi.org/10.1007/s12194-017-0406-5
3. Younas, M.: Research challenges of big data. SOCA 13(2), 105–107 (2019). https://doi.org/10.1007/s11761-019-00265-x
4. Ganesan, P., Rajaraman, S., Long, R., Ghoraani, B., Antani, S.: Assessment of data augmentation strategies toward performance improvement of abnormality classification in chest radiographs. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2019). https://doi.org/10.1109/EMBC.2019.8857516
5. Yang, F., et al.: Differentiating between drug-sensitive and drug-resistant tuberculosis with machine learning for clinical and radiological features. Quant. Imaging Med. Surg. 12, 675–687 (2022). https://doi.org/10.21037/qims-21-290
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