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Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation

Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation

9 May 2025
Diego Adame
Jose Angel Nuñez
Fabian Vazquez
Nayeli Gurrola
Huimin Li
Haoteng Tang
Bin Fu
Pengfei Gu
    Mamba
ArXiv (abs)PDFHTML

Papers citing "Topo-VM-UNetV2: Encoding Topology into Vision Mamba UNet for Polyp Segmentation"

18 / 18 papers shown
Title
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8
Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8
Fabian Vazquez
Jose Angel Nuñez
Xiaoyan Fu
Pengfei Gu
Bin Fu
41
1
0
31 Jan 2025
VMamba: Visual State Space Model
VMamba: Visual State Space Model
Yue Liu
Yunjie Tian
Yuzhong Zhao
Hongtian Yu
Lingxi Xie
Yaowei Wang
Qixiang Ye
Jianbin Jiao
Yunfan Liu
Mamba
278
690
0
31 Dec 2024
Boosting Medical Image Classification with Segmentation Foundation Model
Boosting Medical Image Classification with Segmentation Foundation Model
Pengfei Gu
Zihan Zhao
Hongxiao Wang
Yaopeng Peng
Yizhe Zhang
Nishchal Sapkota
Chaoli Wang
Danny Chen
MedImVLM
51
6
0
16 Jun 2024
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
VM-UNet: Vision Mamba UNet for Medical Image Segmentation
Jiacheng Ruan
Suncheng Xiang
Mamba
132
278
0
04 Feb 2024
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Mamba: Linear-Time Sequence Modeling with Selective State Spaces
Albert Gu
Tri Dao
Mamba
146
2,699
0
01 Dec 2023
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image
  Segmentation
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation
Yao Peng
Milan Sonka
Danny Z. Chen
SSeg
53
50
0
29 Nov 2023
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge
  for Semi-Supervised Learning in Medical Image Segmentation
SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation
Yizhe Zhang
Tao Zhou
Shuo Wang
Ye Wu
Pengfei Gu
Da Chen
121
11
0
26 Aug 2023
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit
  Patch Embeddings
SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings
Yejia Zhang
Pengfei Gu
Nishchal Sapkota
Da Chen
83
7
0
23 Jul 2023
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation
ConvFormer: Combining CNN and Transformer for Medical Image Segmentation
Pengfei Gu
Yejia Zhang
Chaoli Wang
Da Chen
ViTMedIm
38
12
0
15 Nov 2022
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers
B. Dong
Wenhai Wang
Deng-Ping Fan
Jinpeng Li
Huazhu Fu
Ling Shao
ViTMedIm
69
323
0
16 Aug 2021
Shallow Attention Network for Polyp Segmentation
Shallow Attention Network for Polyp Segmentation
JunChao Wei
Yiwen Hu
Ruimao Zhang
Zhen Li
S.Kevin Zhou
Shuguang Cui
67
265
0
02 Aug 2021
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic
  Polyp Segmentation Using Convolution Neural Networks
Towards a Computed-Aided Diagnosis System in Colonoscopy: Automatic Polyp Segmentation Using Convolution Neural Networks
P. Brandao
Odysseas Zisimopoulos
E. Mazomenos
G. Ciuti
Jorge Bernal
...
P. Dario
Anastasios Koulaouzidis
A. Arezzo
D. Hawkes
Danail Stoyanov
MedIm
79
64
0
15 Jan 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
664
41,103
0
22 Oct 2020
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
PraNet: Parallel Reverse Attention Network for Polyp Segmentation
Deng-Ping Fan
Ge-Peng Ji
Tao Zhou
Geng Chen
Huazhu Fu
Jianbing Shen
Ling Shao
ODL
220
1,172
0
13 Jun 2020
Kvasir-SEG: A Segmented Polyp Dataset
Kvasir-SEG: A Segmented Polyp Dataset
Debesh Jha
P. Smedsrud
Michael A. Riegler
Pål Halvorsen
Thomas de Lange
Dag Johansen
Haavard D. Johansen
188
1,171
0
16 Nov 2019
CBAM: Convolutional Block Attention Module
CBAM: Convolutional Block Attention Module
Sanghyun Woo
Jongchan Park
Joon-Young Lee
In So Kweon
224
16,582
0
17 Jul 2018
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
A Benchmark for Endoluminal Scene Segmentation of Colonoscopy Images
David Vázquez
Jorge Bernal
F. Sánchez
Gloria Fernández-Esparrach
Antonio M. López
Adriana Romero
M. Drozdzal
Aaron Courville
3DV
178
638
0
02 Dec 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
1