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Multi-scale self-guided attention for medical image segmentation
v1v2v3 (latest)

Multi-scale self-guided attention for medical image segmentation

IEEE journal of biomedical and health informatics (IEEE JBHI), 2019
7 June 2019
Ashish Sinha
Jose Dolz
    SSeg
ArXiv (abs)PDFHTMLGithub (465★)

Papers citing "Multi-scale self-guided attention for medical image segmentation"

50 / 99 papers shown
Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
Multimodal Fusion at Three Tiers: Physics-Driven Data Generation and Vision-Language Guidance for Brain Tumor Segmentation
Mingda Zhang
357
1
0
14 Jul 2025
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image SegmentationBiomedical Signal Processing and Control (BSPC), 2025
Hancan Zhu
Jinhao Chen
Guanghua He
Mamba
451
3
0
17 May 2025
HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
HER-Seg: Holistically Efficient Segmentation for High-Resolution Medical Images
Qing Xu
Zhenye Lou
Chenxin Li
Xiangjian He
Rong Qu
Tesema Fiseha Berhanu
Yi Wang
Wenting Duan
Daming Gao
MedIm
323
0
0
08 Apr 2025
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
LGPS: A Lightweight GAN-Based Approach for Polyp Segmentation in Colonoscopy Images
Fiseha B. Tesema
Alejandro Guerra Manzanares
Tianxiang Cui
Qian Zhang
Moses Solomon
Sean He
238
5
0
24 Mar 2025
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Multi-Disease-Aware Training Strategy for Cardiac MR Image Segmentation
Hong Zheng
Yucheng Chen
Nan Mu
Xiaoning Li
448
1
0
23 Mar 2025
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly Detection
MAD-AD: Masked Diffusion for Unsupervised Brain Anomaly DetectionInformation Processing in Medical Imaging (IPMI), 2025
Farzad Beizaee
Gregory A. Lodygensky
Christian Desrosiers
Jose Dolz
DiffMMedIm
872
5
0
24 Feb 2025
Advancing Oyster Phenotype Segmentation with Multi-Network Ensemble and Multi-Scale mechanism
Advancing Oyster Phenotype Segmentation with Multi-Network Ensemble and Multi-Scale mechanism
Wenli Yang
Yanyu Chen
Andrew Trotter
Byeong Kang
245
1
0
20 Jan 2025
Enhancing Brain Tumor Classification Using TrAdaBoost and
  Multi-Classifier Deep Learning Approaches
Enhancing Brain Tumor Classification Using TrAdaBoost and Multi-Classifier Deep Learning Approaches
Mahin Mohammadi
Saman Jamshidi
292
3
0
31 Oct 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
302
1
0
29 Oct 2024
SkinFormer: Learning Statistical Texture Representation with Transformer
  for Skin Lesion Segmentation
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion SegmentationIEEE journal of biomedical and health informatics (IEEE JBHI), 2024
Rongtao Xu
Changwei Wang
Jiguang Zhang
Shibiao Xu
Weiliang Meng
Xiaopeng Zhang
ViTMedIm
244
25
0
13 Sep 2024
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging
Shuyi Ouyang
Jinyang Zhang
Xiangye Lin
Xilai Wang
Qingqing Chen
Yen-Wei Chen
Lanfen Lin
VLM
446
0
0
30 Aug 2024
Few-Shot Medical Image Segmentation with Large Kernel Attention
Few-Shot Medical Image Segmentation with Large Kernel Attention
Sissi Xiaoxiao Wu
Xiaowei Chen
Zhenguo Gao
Shulei Qu
Yuanyuan Qiu
237
0
0
27 Jul 2024
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for
  Histopathological Image Classification
FMDNN: A Fuzzy-guided Multi-granular Deep Neural Network for Histopathological Image Classification
Weiping Ding
Tianyi Zhou
Jiashuang Huang
Shu Jiang
Tao Hou
Chin-Teng Lin
268
28
0
22 Jul 2024
Multi-scale gridded Gabor attention for cirrus segmentation
Multi-scale gridded Gabor attention for cirrus segmentation
Felix Richards
A. Paiement
Xianghua Xie
Elisabeth Sola
Pierre-Alain Duc
317
3
0
11 Jul 2024
EFCNet: Every Feature Counts for Small Medical Object Segmentation
EFCNet: Every Feature Counts for Small Medical Object Segmentation
Lingjie Kong
Qiaoling Wei
Chengming Xu
Han Chen
Yanwei Fu
250
1
0
26 Jun 2024
Automatic diagnosis of cardiac magnetic resonance images based on
  semi-supervised learning
Automatic diagnosis of cardiac magnetic resonance images based on semi-supervised learning
Hejun Huang
Zuguo Chen
Yi Huang
Guangqiang Luo
Chaoyang Chen
Youzhi Song
215
2
0
23 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
271
15
0
27 Apr 2024
Endora: Video Generation Models as Endoscopy Simulators
Endora: Video Generation Models as Endoscopy Simulators
Chenxin Li
Hengyu Liu
Yifan Liu
Brandon Yushan Feng
Wuyang Li
Xinyu Liu
Daming Gao
Jing Shao
Yixuan Yuan
VGenMedIm
343
72
0
17 Mar 2024
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ
  Segmentation
Dynamic U-Net: Adaptively Calibrate Features for Abdominal Multi-organ Segmentation
Jin Yang
Daniel S. Marcus
Aristeidis Sotiras
SSeg
189
10
0
12 Mar 2024
Multimodal Interpretable Data-Driven Models for Early Prediction of
  Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Multimodal Interpretable Data-Driven Models for Early Prediction of Antimicrobial Multidrug Resistance Using Multivariate Time-Series
Sergio Martínez-Aguero
Antonio G. Marques
Inmaculada Mora-Jiménez
Joaquín Alvárez-Rodríguez
Cristina Soguero-Ruiz
230
0
0
09 Feb 2024
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Masked LoGoNet: Fast and Accurate 3D Image Analysis for Medical Domain
Amin Karimi Monsefi
Payam Karisani
Mengxi Zhou
Stacey S. Choi
Nathan Doble
Heng Ji
Srinivasan Parthasarathy
R. Ramnath
360
9
0
09 Feb 2024
Swin-UMamba: Mamba-based UNet with ImageNet-based pretraining
Swin-UMamba: Mamba-based UNet with ImageNet-based pretrainingInternational Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2024
Jiarun Liu
Hao Yang
Hong-Yu Zhou
Yan Xi
Lequan Yu
...
Yong Liang
Guangming Shi
Shaoting Zhang
Hairong Zheng
Shanshan Wang
Mamba
560
362
0
05 Feb 2024
Vertical Federated Image Segmentation
Vertical Federated Image SegmentationArtificial Intelligence Applications and Innovations (AIAI), 2024
Paul K. Mandal
Cole Leo
315
0
0
15 Jan 2024
All Attention U-NET for Semantic Segmentation of Intracranial
  Hemorrhages In Head CT Images
All Attention U-NET for Semantic Segmentation of Intracranial Hemorrhages In Head CT ImagesBiomedical Circuits and Systems Conference (BioCAS), 2022
Chia Shuo Chang
T. Chang
Jiun-Lin Yan
L. Ko
149
6
0
16 Dec 2023
Pseudo Label-Guided Data Fusion and Output Consistency for
  Semi-Supervised Medical Image Segmentation
Pseudo Label-Guided Data Fusion and Output Consistency for Semi-Supervised Medical Image Segmentation
Tao Wang
Yuanbin Chen
Xinlin Zhang
Yuanbo Zhou
Junlin Lan
Bizhe Bai
Tao Tan
Min Du
Qinquan Gao
Tong Tong
270
1
0
17 Nov 2023
SA2-Net: Scale-aware Attention Network for Microscopic Image
  Segmentation
SA2-Net: Scale-aware Attention Network for Microscopic Image SegmentationBritish Machine Vision Conference (BMVC), 2023
Mustansar Fiaz
Moein Heidari
Rao Muhammad Anwer
Hisham Cholakkal
311
13
0
28 Sep 2023
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer
  Model
Improving FHB Screening in Wheat Breeding Using an Efficient Transformer Model
Babak Azad
A. Abdalla
Kwanghee Won
A. M. Nafchi
MedIm
244
3
0
07 Aug 2023
Is attention all you need in medical image analysis? A review
Is attention all you need in medical image analysis? A reviewIEEE journal of biomedical and health informatics (IEEE JBHI), 2023
G. Papanastasiou
Nikolaos Dikaios
Jiahao Huang
Chengjia Wang
Guang Yang
ViTMedIm
268
61
0
24 Jul 2023
3D Medical Image Segmentation based on multi-scale MPU-Net
3D Medical Image Segmentation based on multi-scale MPU-Net
Zeqiu Yu
Shuo Han
Ziheng Song
3DV
284
6
0
11 Jul 2023
Channel prior convolutional attention for medical image segmentation
Channel prior convolutional attention for medical image segmentation
He-lu Huang
Zuguo Chen
Y. Zou
Ming Lu
Chaoyang Chen
MedIm
208
262
0
08 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 analysisIEEE Transactions on Medical Imaging (TMI), 2023
Ziang Xu
J. Rittscher
Sharib Ali
345
12
0
31 May 2023
Scale-aware Super-resolution Network with Dual Affinity Learning for
  Lesion Segmentation from Medical Images
Scale-aware Super-resolution Network with Dual Affinity Learning for Lesion Segmentation from Medical ImagesIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
Yanwen Li
Luyang Luo
Huangjing Lin
Pheng-Ann Heng
Hao Chen
SupRSSegMedIm
199
8
0
30 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
ViTMedIm
270
49
0
29 May 2023
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
Squeeze Excitation Embedded Attention UNet for Brain Tumor Segmentation
G. Prasanna
John Rohit Ernest
G. Lalitha
Sathiya Narayanan
179
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0
13 May 2023
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
SAMM (Segment Any Medical Model): A 3D Slicer Integration to SAM
Yihao Liu
Kailai Li
Zhangcong She
Amir Kheradmand
Mehran Armand
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338
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12 Apr 2023
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk
  Segmentation
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationIEEE International Symposium on Biomedical Imaging (ISBI), 2023
Abdullah Nazib
Riad Hassan
Zahidul Islam
Clinton Fookes
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158
3
0
19 Mar 2023
A Survey on Causal Representation Learning and Future Work for Medical
  Image Analysis
A Survey on Causal Representation Learning and Future Work for Medical Image Analysis
Chang-Tien Lu
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278
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0
28 Oct 2022
Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained
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Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural NetworksIEEE Access (IEEE Access), 2022
Samra Irshad
D. Gomes
S. T. Kim
218
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09 Oct 2022
Understanding the Tricks of Deep Learning in Medical Image Segmentation:
  Challenges and Future Directions
Understanding the Tricks of Deep Learning in Medical Image Segmentation: Challenges and Future Directions
Dong Zhang
Yi Lin
Hao Chen
Zhuotao Tian
Xin Yang
Jinhui Tang
Kwang-Ting Cheng
VLM
351
19
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21 Sep 2022
HistoSeg : Quick attention with multi-loss function for multi-structure
  segmentation in digital histology images
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images
Saad Wazir
M. Fraz
260
51
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01 Sep 2022
Localizing the conceptual difference of two scenes using deep learning
  for house keeping usages
Localizing the conceptual difference of two scenes using deep learning for house keeping usages
Ali Atghaei
Ehsan Rahnama
Kiavash Azimi
140
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ScaleFormer: Revisiting the Transformer-based Backbones from a
  Scale-wise Perspective for Medical Image Segmentation
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image SegmentationInternational Joint Conference on Artificial Intelligence (IJCAI), 2022
Huimin Huang
Shiao Xie
Lanfen Lin
Yutaro Iwamoto
X. Han
Yen-Wei Chen
Ruofeng Tong
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196
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29 Jul 2022
Large-Kernel Attention for 3D Medical Image Segmentation
Large-Kernel Attention for 3D Medical Image SegmentationCognitive Computation (Cogn. Comput.), 2022
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Yang Nan
Javier Del Ser
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Wound Segmentation with Dynamic Illumination Correction and Dual-view
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Changjian Wang
Kele Xu
Fangzhao Li
Ming Feng
Yuxing Peng
Hongjun He
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175
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Omni-Seg: A Scale-aware Dynamic Network for Renal Pathological Image
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A novel adversarial learning strategy for medical image classification
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Position-prior Clustering-based Self-attention Module for Knee Cartilage
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145
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Attention-based Dynamic Subspace Learners for Medical Image Analysis
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Superresolution and Segmentation of OCT scans using Multi-Stage
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MISSU: 3D Medical Image Segmentation via Self-distilling TransUNet
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Shaohui Lin
Xiaoxiao Li
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ViTMedIm
287
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