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A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and
  Cross-Slice Attention

A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention

30 April 2024
Amarjeet Kumar
Hongxu Jiang
Muhammad Imran
Cyndi Valdes
Gabriela Leon
Dahyun Kang
Parvathi Nataraj
Yuyin Zhou
Michael D. Weiss
Wei Shao
ArXivPDFHTML

Papers citing "A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention"

4 / 4 papers shown
Title
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation
  Guided Correspondence Flow Network
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network
Delin An
Pengfei Gu
Milan Sonka
Chaoli Wang
D. Z. Chen
74
1
0
21 Nov 2024
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023
  Challenge
3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge
Siwei Yang
Xianhang Li
Jieru Mei
Jieneng Chen
Cihang Xie
Yuyin Zhou
MedIm
34
4
0
23 Mar 2024
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for
  Medical Image Segmentation
TransAttUnet: Multi-level Attention-guided U-Net with Transformer for Medical Image Segmentation
Bingzhi Chen
Yishu Liu
Zheng-Wei Zhang
Guangming Lu
A. W. Kong
MedIm
ViT
101
208
0
12 Jul 2021
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
243
75,770
0
18 May 2015
1