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Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach
  using a Dilated Transformer and U-Net Architecture

Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture

22 April 2023
Davoud Saadati
Omid Nejati Manzari
S. Mirzakuchaki
    ViT
    MedIm
ArXivPDFHTML

Papers citing "Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture"

4 / 4 papers shown
Title
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules
Enhancing Vehicle Make and Model Recognition with 3D Attention Modules
Narges Semiromizadeh
Omid Nejati Manzari
S. B. Shokouhi
S. Mirzakuchaki
ViT
94
0
0
24 Feb 2025
Enhancing Boundary Segmentation for Topological Accuracy with
  Skeleton-based Methods
Enhancing Boundary Segmentation for Topological Accuracy with Skeleton-based Methods
Chuni Liu
Boyuan Ma
Xiaojuan Ban
Yujie Xie
Hao Wang
Weihua Xue
Jingchao Ma
Ke Xu
46
4
0
29 Apr 2024
MISSFormer: An Effective Medical Image Segmentation Transformer
MISSFormer: An Effective Medical Image Segmentation Transformer
Xiaohong Huang
Zhifang Deng
Dandan Li
Xueguang Yuan
ViT
MedIm
95
174
0
15 Sep 2021
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
446
15,639
0
02 Nov 2015
1