A novel normalization algorithm to facilitate pre-assessment of Covid-19 disease by improving accuracy of CNN and its FPGA implementation

Author:

Yaman SertaçORCID,Karakaya Barış,Erol Yavuz

Publisher

Springer Science and Business Media LLC

Subject

Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering

Reference46 articles.

1. Agrawal T, Choudhary P (2021) FocusCovid: automated COVID-19 detection using deep learning with chest X-ray images. Evolv Syst 2021:1–15

2. Angelov P, Soares EA (2020) SARS-CoV-2 CT-scan dataset: a large dataset of real patients CT scans for SARS-CoV-2 identification. MedRxiv

3. Baptista D, Sousa L, Morgado-Dias F (2020) Raising the abstraction level of a deep learning design on FPGAs. IEEE Access 8:205148–205161

4. “Covid-19: covid-19 x-ray images”, GitHub, available online, https://github.com/search?q=covid-19+x-ray+images

5. Duan Y et al (2018) Energy-efficient architecture for FPGA-based deep convolutional neural networks with binary weights. In: 2018 IEEE 23rd international conference on digital signal processing (DSP). IEEE

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