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Automatic Polyp Segmentation via Multi-scale Subtraction Network

Automatic Polyp Segmentation via Multi-scale Subtraction Network

11 August 2021
Xiaoqi Zhao
Lihe Zhang
Huchuan Lu
    MedIm
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Papers citing "Automatic Polyp Segmentation via Multi-scale Subtraction Network"

19 / 19 papers shown
Title
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
BiSeg-SAM: Weakly-Supervised Post-Processing Framework for Boosting Binary Segmentation in Segment Anything Models
Encheng Su
Hu Cao
Alois C. Knoll
MedIm
88
0
0
02 Apr 2025
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
A Survey on Deep Learning for Polyp Segmentation: Techniques, Challenges and Future Trends
Jiaxin Mei
Tao Zhou
Kaiwen Huang
Yizhe Zhang
Yi Zhou
Ye Wu
Huazhu Fu
232
14
0
20 Jan 2025
Edge-aware Feature Aggregation Network for Polyp Segmentation
Edge-aware Feature Aggregation Network for Polyp Segmentation
Tao Zhou
Yizhe Zhang
Geng Chen
Yi Zhou
Ye Wu
Deng-Ping Fan
192
8
0
19 Sep 2023
Progressively Normalized Self-Attention Network for Video Polyp
  Segmentation
Progressively Normalized Self-Attention Network for Video Polyp Segmentation
Ge-Peng Ji
Yu-Cheng Chou
Deng-Ping Fan
Geng Chen
Huazhu Fu
Debesh Jha
Ling Shao
ViT
57
140
0
18 May 2021
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
174
1,168
0
13 Jun 2020
F3Net: Fusion, Feedback and Focus for Salient Object Detection
F3Net: Fusion, Feedback and Focus for Salient Object Detection
Junhang Wei
Shuhui Wang
Qingming Huang
3DPC
59
705
0
26 Nov 2019
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
152
1,165
0
16 Nov 2019
ResUNet++: An Advanced Architecture for Medical Image Segmentation
ResUNet++: An Advanced Architecture for Medical Image Segmentation
Debesh Jha
P. Smedsrud
Michael A. Riegler
Dag Johansen
Thomas de Lange
Pål Halvorsen
H. Johansen
SSeg
68
912
0
16 Nov 2019
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
UNet++: A Nested U-Net Architecture for Medical Image Segmentation
Zongwei Zhou
M. R. Siddiquee
Nima Tajbakhsh
Jianming Liang
SSeg
101
6,106
0
18 Jul 2018
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Enhanced-alignment Measure for Binary Foreground Map Evaluation
Deng-Ping Fan
Cheng Gong
Yang Cao
Bo Ren
Ming-Ming Cheng
Ali Borji
105
1,218
0
26 May 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
376
26,365
0
05 Sep 2017
Structure-measure: A New Way to Evaluate Foreground Maps
Structure-measure: A New Way to Evaluate Foreground Maps
Deng-Ping Fan
Ming-Ming Cheng
Yun-Hai Liu
Tao Li
Ali Borji
118
1,365
0
02 Aug 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
437
22,040
0
09 Dec 2016
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
154
636
0
02 Dec 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
213
18,195
0
02 Jun 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOS
SSeg
508
37,806
0
20 May 2016
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Perceptual Losses for Real-Time Style Transfer and Super-Resolution
Justin Johnson
Alexandre Alahi
Li Fei-Fei
SupR
209
10,230
0
27 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
1.8K
193,426
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.5K
76,917
0
18 May 2015
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