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3D-TransUNet for Brain Metastases Segmentation in the BraTS2023
  Challenge

3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge

23 March 2024
Siwei Yang
Xianhang Li
Jieru Mei
Jieneng Chen
Cihang Xie
Yuyin Zhou
    MedIm
ArXivPDFHTML

Papers citing "3D-TransUNet for Brain Metastases Segmentation in the BraTS2023 Challenge"

4 / 4 papers shown
Title
FANCL: Feature-Guided Attention Network with Curriculum Learning for
  Brain Metastases Segmentation
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
Zijiang Liu
Xiaoyu Liu
Linhao Qu
Yonghong Shi
MedIm
26
0
0
29 Oct 2024
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
Amarjeet Kumar
Hongxu Jiang
Muhammad Imran
Cyndi Valdes
Gabriela Leon
Dahyun Kang
Parvathi Nataraj
Yuyin Zhou
Michael D. Weiss
Wei Shao
48
8
0
30 Apr 2024
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
317
7,457
0
11 Nov 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
363
75,888
0
18 May 2015
1