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A Two-Stage Cascade Model with Variational Autoencoders and Attention
  Gates for MRI Brain Tumor Segmentation

A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation

4 November 2020
Chenggang Lyu
Hai Shu
ArXivPDFHTML

Papers citing "A Two-Stage Cascade Model with Variational Autoencoders and Attention Gates for MRI Brain Tumor Segmentation"

3 / 3 papers shown
Title
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
G. Prasanna
John Rohit Ernest
G. Lalitha
Sathiya Narayanan
29
3
0
13 May 2023
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor
  Segmentation
BiTr-Unet: a CNN-Transformer Combined Network for MRI Brain Tumor Segmentation
Qiran Jia
Hai Shu
ViT
MedIm
98
69
0
25 Sep 2021
Deep and Statistical Learning in Biomedical Imaging: State of the Art in
  3D MRI Brain Tumor Segmentation
Deep and Statistical Learning in Biomedical Imaging: State of the Art in 3D MRI Brain Tumor Segmentation
K. R. M. Fernando
Cris P Tsokos
31
53
0
09 Mar 2021
1