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From CNN to Transformer: A Review of Medical Image Segmentation Models

From CNN to Transformer: A Review of Medical Image Segmentation Models

10 August 2023
Wenjian Yao
Jiajun Bai
Wei Liao
Yuheng Chen
Mengjuan Liu
Yao Xie
    ViT
    MedIm
ArXivPDFHTML

Papers citing "From CNN to Transformer: A Review of Medical Image Segmentation Models"

10 / 10 papers shown
Title
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
Boris Kriuk
Matey Yordanov
38
0
0
02 May 2025
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
MSA-UNet3+: Multi-Scale Attention UNet3+ with New Supervised Prototypical Contrastive Loss for Coronary DSA Image Segmentation
Rayan Merghani Ahmed
Adnan Iltaf
Mohamed Elmanna
Gang Zhao
Hongliang Li
Yue Du
Bin Li
Shoujun Zhou
158
0
0
07 Apr 2025
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional
  Data Processing
Nd-BiMamba2: A Unified Bidirectional Architecture for Multi-Dimensional Data Processing
Hao Liu
Mamba
AI4CE
82
1
0
22 Nov 2024
Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset
  and Cross-Disease Generalization
Benchmarking Retinal Blood Vessel Segmentation Models for Cross-Dataset and Cross-Disease Generalization
Jeremiah Fadugba
Patrick Köhler
Lisa M. Koch
P. Manescu
Philipp Berens
44
0
0
21 Jun 2024
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
Convolution and Attention-Free Mamba-based Cardiac Image Segmentation
Abbas Khan
Muhammad Asad
Martin Benning
C. Roney
Gregory Slabaugh
Mamba
35
2
0
09 Jun 2024
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images
  using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation
SPINEPS -- Automatic Whole Spine Segmentation of T2-weighted MR images using a Two-Phase Approach to Multi-class Semantic and Instance Segmentation
Hendrik Möller
Robert Graf
Joachim Schmitt
Benjamin Keinert
Matan Atad
...
T. Pischon
B. Endemann
Bjoern H. Menze
Daniel Rueckert
Jan S. Kirschke
77
7
0
26 Feb 2024
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning
  Models for Thoracic Anatomical Segmentation
Architecture Analysis and Benchmarking of 3D U-shaped Deep Learning Models for Thoracic Anatomical Segmentation
Arash Harirpoush
Amir Rasoulian
Marta Kersten-Oertel
Yiming Xiao
3DV
11
0
0
05 Feb 2024
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
L. V. D. van der Maaten
Kilian Q. Weinberger
PINN
3DV
315
36,381
0
25 Aug 2016
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI
  and Ultrasound
Hough-CNN: Deep Learning for Segmentation of Deep Brain Regions in MRI and Ultrasound
Fausto Milletari
Seyed-Ahmad Ahmadi
Christine Kroll
A. Plate
Verena E. Rozanski
...
J. Levin
O. Dietrich
B. Ertl-Wagner
K. Boetzel
Nassir Navab
200
363
0
26 Jan 2016
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
15,645
0
02 Nov 2015
1