Optimizing Medical Image Classification Models for Edge Devices

Author:

Abid Areeba,Sinha Priyanshu,Harpale Aishwarya,Gichoya Judy,Purkayastha Saptarshi

Publisher

Springer International Publishing

Reference14 articles.

1. U.S. Department of Health and Human Services: Guidance on HIPAA and Cloud Computing (2020). https://bit.ly/3wyHFxD

2. Bhimireddy, A., et al.: Blood glucose level prediction as time-series modeling using sequence-to-sequence neural networks. In: CEUR Workshop Proceedings (2020)

3. Wang, X., Peng, Y., Lu, L., Lu, Z., Bagheri, M., Summers, R.M.: ChestX-Ray8: hospital-scale chest x-ray database and benchmarks on weakly-supervised classification and localization of common thorax diseases. In: IEEE Conference on Computer Vision and Pattern Recognition (2017). https://arxiv.org/pdf/1705.02315v5.pdf

4. Arevalo, W., Beltran, J.: Xrays-multi-dense121 0980aa (2019). https://www.kaggle.com/willarevalo/xrays-multi-densenet121/data?select=weights.h5

5. TensorFlow. Optimize machine learning models. https://www.tensorflow.org/model_optimization

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