Brain MRI Images Generating Method Based on Cyclegan

https://doi.org/10.31130/ud-jst.2022.310ICT
Tóm tắt: 63 | PDF: 70

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Author

  • Hinh Van Nguyen
    School of Electrical and Electronic Engineering, Hanoi University of Science and Technology
    Thanh Han Trong
    School of Electrical and Electronic Engineering, Hanoi University of Science and Technology

Từ khóa:

Brain Tumor
Artificial Intelligence
Convolution Neural Networks
Machine Learning
Generative Adversarial Network

Tóm tắt

Generating tumor images on a brain MRI image at random locations can help medical researchers and medical students in predicting possible tumor possibilities. In this study, we propose to apply CycleGan to create MRI images with brain tumors from MRI images without brain tumors, thereby increasing the number of MRI images with brain tumors. With the initial data set of 660 images without brain tumors, the CycleGan model has created a new data set of 660 images with brain tumors, aiming to increase the number of brain MRI images for future studies. The received results will be evaluated and compared to others studied based on FID score.

Tài liệu tham khảo

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Đã Xuất bản

Dec 31, 2022
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Cách trích dẫn
Van Nguyen, H., và T. H. Trong. “Brain MRI Images Generating Method Based on Cyclegan”. Tạp Chí Khoa học Và Công nghệ - Đại học Đà Nẵng, vol 20, số p.h 12.2, Tháng Chạp 2022, tr 13-18, doi:10.31130/ud-jst.2022.310ICT.

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