Real-time deployment of BI-RADS breast cancer classifier using deep-learning and FPGA techniques
Author:
Publisher
Springer Science and Business Media LLC
Subject
Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s11554-023-01335-2.pdf
Reference25 articles.
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2. www.cancer.org
3. Hassan, S.A., Sayed, M.S., Abdalla, M.I., Rashwan, M.A.: Breast cancer masses classification using deep convolutional neural networks and transfer learning. Multimed. Tools Appl. 79, 30735–30768 (2020). https://doi.org/10.1007/s11042-020-09518-w
4. Weerakkoddy, Y., Yap, J.: Breast imaging reporting and data system (BI-RADS) https://doi.org/10.53347/rlD-10003
5. Pu, J., Bell, S., Yang, X., Setter, J., Richardson, S., Ragan-Kelley, J., Horowitz, M.: Programming heterogeneous systems from an image processing DSL. ACM Trans. Archit. Code Optim. 14, 1–25 (2017). https://doi.org/10.1145/3107953
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