most citedU-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

47 citations · 49 across the 4 of their papers we have counts for

collaborators
Showing eess.IVShow all

2 papers · 1 filter

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…

eess.IV2023★ 47 cited

U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation

Yaopeng Peng, Milan Sonka, Danny Z. Chen

In this paper, we introduce U-Net v2, a new robust and efficient U-Net variant for medical image segmentation. It aims to augment the infusion of semantic information into low-leve…