3D-DGGAN: A data-guided generative adversarial network for high fidelity in medical image generation
2024_전 · 2024년 5월 30일
Jion Kim, Yan Li and Byeong-Seok Shin, IEEE Journal of Biomedical and Health Informatics, 2024 DOI
- ‹ 이전 글US-GAN: Ultrasound image-specific feature decomposition for fine texture transfer
- 다음 글 ›FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification
