2 papers
cs.CV2024
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
Delin An, Pengfei Gu, Milan Sonka +2
Deep learning (DL) methods have shown remarkable successes in medical image segmentation, often using large amounts of annotated data for model training. However, acquiring a large…
eess.IV2024
Spectral U-Net: Enhancing Medical Image Segmentation via Spectral Decomposition
Yaopeng Peng, Milan Sonka, Danny Z. Chen
This paper introduces Spectral U-Net, a novel deep learning network based on spectral decomposition, by exploiting Dual Tree Complex Wavelet Transform (DTCWT) for down-sampling and…