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CA-Net: Comprehensive Attention Convolutional Neural Networks for
  Explainable Medical Image Segmentation

CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation

22 September 2020
Ran Gu
Guotai Wang
Tao Song
Rui Huang
Michael Aertsen
Jan Deprest
Sébastien Ourselin
Tom Kamiel Magda Vercauteren
Shaoting Zhang
    SSeg
ArXivPDFHTML

Papers citing "CA-Net: Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation"

50 / 67 papers shown
Title
CNNtention: Can CNNs do better with Attention?
CNNtention: Can CNNs do better with Attention?
Julian Glattki
Nikhil Kapila
Tejas Rathi
67
0
0
31 Dec 2024
FANCL: Feature-Guided Attention Network with Curriculum Learning for
  Brain Metastases Segmentation
FANCL: Feature-Guided Attention Network with Curriculum Learning for Brain Metastases Segmentation
Zijiang Liu
Xiaoyu Liu
Linhao Qu
Yonghong Shi
MedIm
26
0
0
29 Oct 2024
Self-eXplainable AI for Medical Image Analysis: A Survey and New
  Outlooks
Self-eXplainable AI for Medical Image Analysis: A Survey and New Outlooks
Junlin Hou
Sicen Liu
Yequan Bie
Hongmei Wang
Andong Tan
Luyang Luo
Hao Chen
XAI
25
3
0
03 Oct 2024
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical
  Images
Segment as You Wish -- Free-Form Language-Based Segmentation for Medical Images
Longchao Da
Rui Wang
Xiaojian Xu
Parminder Bhatia
Taha A. Kass-Hout
Hua Wei
Cao Xiao
VLM
MedIm
46
2
0
02 Oct 2024
TransResNet: Integrating the Strengths of ViTs and CNNs for High
  Resolution Medical Image Segmentation via Feature Grafting
TransResNet: Integrating the Strengths of ViTs and CNNs for High Resolution Medical Image Segmentation via Feature Grafting
Muhammad Hamza Sharif
Dmitry Demidov
Asif Hanif
Mohammad Yaqub
Min Xu
ViT
MedIm
31
2
0
01 Oct 2024
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation
Hugo Porta
Emanuele Dalsasso
Diego Marcos
D. Tuia
95
0
0
14 Sep 2024
SkinFormer: Learning Statistical Texture Representation with Transformer
  for Skin Lesion Segmentation
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion Segmentation
Rongtao Xu
Changwei Wang
Jiguang Zhang
Shibiao Xu
Weiliang Meng
Xiaopeng Zhang
ViT
MedIm
31
3
0
13 Sep 2024
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
Efficient and Accurate Pneumonia Detection Using a Novel Multi-Scale Transformer Approach
Alireza Saber
Pouria Parhami
Alimihammad Siahkarzadeh
Amirreza Fateh
Amirreza Fateh
ViT
MedIm
50
9
0
08 Aug 2024
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound
  Image Segmentation
CC-SAM: SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Shreyank N. Gowda
David A. Clifton
MedIm
31
1
0
31 Jul 2024
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation
Tao Chen
Chenhui Wang
Zhihao Chen
Yiming Lei
Hongming Shan
MedIm
36
8
0
03 Jul 2024
Applications of interpretable deep learning in neuroimaging: a
  comprehensive review
Applications of interpretable deep learning in neuroimaging: a comprehensive review
Lindsay Munroe
Mariana da Silva
Faezeh Heidari
I. Grigorescu
Simon Dahan
E. C. Robinson
Maria Deprez
Po-Wah So
AI4CE
44
5
0
30 May 2024
Adaptive Multiscale Retinal Diagnosis: A Hybrid Trio-Model Approach for
  Comprehensive Fundus Multi-Disease Detection Leveraging Transfer Learning and
  Siamese Networks
Adaptive Multiscale Retinal Diagnosis: A Hybrid Trio-Model Approach for Comprehensive Fundus Multi-Disease Detection Leveraging Transfer Learning and Siamese Networks
Yavuz Selim Inan
21
2
0
28 May 2024
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and
  Beyond: A Survey
Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey
Rokas Gipiškis
Chun-Wei Tsai
Olga Kurasova
61
5
0
02 May 2024
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for
  Volumetric Semantic Segmentation
GLIMS: Attention-Guided Lightweight Multi-Scale Hybrid Network for Volumetric Semantic Segmentation
Z. A. Yazici
Ilkay Oksuz
H. K. Ekenel
MedIm
38
7
0
27 Apr 2024
EPL: Evidential Prototype Learning for Semi-supervised Medical Image
  Segmentation
EPL: Evidential Prototype Learning for Semi-supervised Medical Image Segmentation
Yuanpeng He
EDL
39
2
0
09 Apr 2024
Clustering Propagation for Universal Medical Image Segmentation
Clustering Propagation for Universal Medical Image Segmentation
Yuhang Ding
Liulei Li
Wenguan Wang
Yi Yang
46
9
0
25 Mar 2024
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
SAMCT: Segment Any CT Allowing Labor-Free Task-Indicator Prompts
Xian Lin
Yangyang Xiang
Zhehao Wang
Kwang-Ting Cheng
Zengqiang Yan
Li Yu
VLM
MedIm
29
0
0
20 Mar 2024
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level
  Image-Concept Alignment
MICA: Towards Explainable Skin Lesion Diagnosis via Multi-Level Image-Concept Alignment
Yequan Bie
Luyang Luo
Hao Chen
26
14
0
16 Jan 2024
PMFSNet: Polarized Multi-scale Feature Self-attention Network For
  Lightweight Medical Image Segmentation
PMFSNet: Polarized Multi-scale Feature Self-attention Network For Lightweight Medical Image Segmentation
Jiahui Zhong
Wenhong Tian
Yuanlun Xie
Zhijia Liu
Jie Ou
Taoran Tian
Lei Zhang
23
6
0
15 Jan 2024
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
Hao Shao
Quansheng Zeng
Qibin Hou
Jufeng Yang
51
13
0
14 Dec 2023
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion
  Segmentation
USL-Net: Uncertainty Self-Learning Network for Unsupervised Skin Lesion Segmentation
Xiaofan Li
Bo Peng
Jie Hu
Changyou Ma
Daipeng Yang
Zhuyang Xie
34
6
0
23 Sep 2023
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation
  via Auto Prompting
Beyond Adapting SAM: Towards End-to-End Ultrasound Image Segmentation via Auto Prompting
Xian Lin
Yangyang Xiang
Li Yu
Zengqiang Yan
MedIm
33
20
0
13 Sep 2023
MLN-net: A multi-source medical image segmentation method for clustered
  microcalcifications using multiple layer normalization
MLN-net: A multi-source medical image segmentation method for clustered microcalcifications using multiple layer normalization
Ke Wang
Zanting Ye
Xiang Xie
Haidong Cui
Tao Chen
Banteng Liu
24
9
0
06 Sep 2023
Unsupervised discovery of Interpretable Visual Concepts
Unsupervised discovery of Interpretable Visual Concepts
Caroline Mazini Rodrigues
Nicolas Boutry
Laurent Najman
FAtt
18
2
0
31 Aug 2023
A hybrid approach for improving U-Net variants in medical image
  segmentation
A hybrid approach for improving U-Net variants in medical image segmentation
Aitik Gupta
J. Dhar
SSeg
21
2
0
31 Jul 2023
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained
  on a Large-Scale Unannotated Dataset
MIS-FM: 3D Medical Image Segmentation using Foundation Models Pretrained on a Large-Scale Unannotated Dataset
Guotai Wang
Jianghao Wu
Xiangde Luo
Xinglong Liu
Kang Li
Shaoting Zhang
27
25
0
29 Jun 2023
1M parameters are enough? A lightweight CNN-based model for medical
  image segmentation
1M parameters are enough? A lightweight CNN-based model for medical image segmentation
Binh-Duong Dinh
Thanh-Thu Nguyen
Thi-Thao Tran
Van-Truong Pham
SSeg
MedIm
27
16
0
28 Jun 2023
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for
  Medical Image Segmentation
TEC-Net: Vision Transformer Embrace Convolutional Neural Networks for Medical Image Segmentation
Rui Sun
Tao Lei
Xiaogang Du
Y. Wan
Yong-quan Xia
A. Nandi
ViT
MedIm
6
5
0
07 Jun 2023
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision
  Transformers for Medical Image Segmentation
CiT-Net: Convolutional Neural Networks Hand in Hand with Vision Transformers for Medical Image Segmentation
Tao Lei
Rui Sun
Xuan Wang
Yingbo Wang
Xi He
A. Nandi
ViT
MedIm
11
12
0
06 Jun 2023
SSL-CPCD: Self-supervised learning with composite pretext-class
  discrimination for improved generalisability in endoscopic image analysis
SSL-CPCD: Self-supervised learning with composite pretext-class discrimination for improved generalisability in endoscopic image analysis
Ziang Xu
J. Rittscher
Sharib Ali
23
3
0
31 May 2023
Attention Mechanisms in Medical Image Segmentation: A Survey
Attention Mechanisms in Medical Image Segmentation: A Survey
Yutong Xie
Bing Yang
Qi Guan
Jianpeng Zhang
Qi Wu
Yong-quan Xia
ViT
MedIm
25
16
0
29 May 2023
Gender, Smoking History and Age Prediction from Laryngeal Images
Gender, Smoking History and Age Prediction from Laryngeal Images
Tianxiao Zhang
A. Bur
Shannon M. Kraft
Hannah Kavookjian
Bryan Renslo
Xiangyu Chen
Bo Luo
Guanghui Wang
26
7
0
26 May 2023
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
Abdul Rehman Khan
Asifullah Khan
ViT
MedIm
44
14
0
15 May 2023
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based
  Uncertainty
Trustworthy Multi-phase Liver Tumor Segmentation via Evidence-based Uncertainty
Chuanfei Hu
Tianyi Xia
Yingwei Cui
Quchen Zou
Yuan-Cheng Wang
Wenbo Xiao
Shenghong Ju
Xinde Li
EDL
19
30
0
09 May 2023
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for
  Medical Image Segmentation
HST-MRF: Heterogeneous Swin Transformer with Multi-Receptive Field for Medical Image Segmentation
Xiaofei Huang
Hongfang Gong
Jin Zhang
MedIm
28
2
0
10 Apr 2023
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk
  Segmentation
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk Segmentation
Abdullah Nazib
Riad Hassan
Zahidul Islam
Clinton Fookes
SSeg
27
3
0
19 Mar 2023
Rethinking Semi-Supervised Medical Image Segmentation: A
  Variance-Reduction Perspective
Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective
Chenyu You
Weicheng Dai
Yifei Min
Fenglin Liu
David A. Clifton
S. Kevin Zhou
Lawrence H. Staib
James S Duncan
23
69
0
03 Feb 2023
Towards Reliable Medical Image Segmentation by utilizing Evidential
  Calibrated Uncertainty
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty
K. Zou
Yidi Chen
Ling Huang
Xuedong Yuan
Xiaojing Shen
Meng Wang
Rick Siow Mong Goh
Yong-Jin Liu
Huazhu Fu
UQCV
25
4
0
01 Jan 2023
Segmentation Ability Map: Interpret deep features for medical image
  segmentation
Segmentation Ability Map: Interpret deep features for medical image segmentation
Sheng He
Yanfang Feng
P. E. Grant
Yangming Ou
SSeg
19
24
0
19 Dec 2022
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for
  Generalizable Medical Image Segmentation
CDDSA: Contrastive Domain Disentanglement and Style Augmentation for Generalizable Medical Image Segmentation
Ran Gu
Guotai Wang
Jiangshan Lu
Jingyang Zhang
Wenhui Lei
...
Wenjun Liao
Shichuan Zhang
Kang Li
Dimitris N. Metaxas
Shaoting Zhang
MedIm
32
29
0
22 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
U-Net-based Models for Skin Lesion Segmentation: More Attention and
  Augmentation
U-Net-based Models for Skin Lesion Segmentation: More Attention and Augmentation
P. M. Kazaj
MohammadHossein Koosheshi
Alireza Shahedi
A. V. Sadr
SSeg
16
7
0
28 Oct 2022
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image
  Segmentation
FAS-UNet: A Novel FAS-driven Unet to Learn Variational Image Segmentation
Hui Zhu
Shi Shu
Jianping Zhang
SSeg
22
6
0
27 Oct 2022
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19
  Medical Images
MS-DCANet: A Novel Segmentation Network For Multi-Modality COVID-19 Medical Images
Xiaoyu Pan
Huazheng Zhu
Jinglong Du
Guang-qin Hu
Baoru Han
Yuanyuan Jia
31
1
0
22 Oct 2022
Explainable Artificial Intelligence to Detect Image Spam Using
  Convolutional Neural Network
Explainable Artificial Intelligence to Detect Image Spam Using Convolutional Neural Network
Zhibo Zhang
Ernesto Damiani
H. A. Hamadi
C. Yeun
Fatma Taher
FAtt
20
8
0
07 Sep 2022
PyMIC: A deep learning toolkit for annotation-efficient medical image
  segmentation
PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation
Guotai Wang
Xiangde Luo
Ran Gu
Shuojue Yang
Yijie Qu
Shuwei Zhai
Qianfei Zhao
Kang Li
Shaoting Zhang
VLM
33
35
0
19 Aug 2022
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation
  Across Similar Anatomical Structures
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures
Ran Gu
Jingyang Zhang
Guotai Wang
Wenhui Lei
Tao Song
Xiaofan Zhang
Kang Li
Shaoting Zhang
29
41
0
18 Aug 2022
A clinically motivated self-supervised approach for content-based image
  retrieval of CT liver images
A clinically motivated self-supervised approach for content-based image retrieval of CT liver images
Kristoffer Wickstrøm
Eirik Agnalt Ostmo
Keyur Radiya
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
Robert Jenssen
SSL
23
13
0
11 Jul 2022
The Lighter The Better: Rethinking Transformers in Medical Image
  Segmentation Through Adaptive Pruning
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning
Xian Lin
Li Yu
Kwang-Ting Cheng
Zengqiang Yan
ViT
MedIm
30
31
0
29 Jun 2022
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient
  Medical Image Segmentation
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation
Xian Lin
Li Yu
Kwang-Ting Cheng
Zengqiang Yan
ViT
MedIm
22
32
0
29 Jun 2022
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