Copertina

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autore principale:	Xu, Jing
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Image and Video Processing Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention
di: Shao, Hao, et al.
Pubblicazione: (2023)

GMISeg: General Medical Image Segmentation without Re-Training
di: Xu, Jing
Pubblicazione: (2023)

MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
di: Kolahi, Sina Ghorbani, et al.
Pubblicazione: (2024)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
di: Zhou, Zhenhuan, et al.
Pubblicazione: (2024)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
di: Sun, Chengkun, et al.
Pubblicazione: (2024)

MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
di: Tian, Peiting, et al.
Pubblicazione: (2025)

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
di: Rahman, Md Mostafijur, et al.
Pubblicazione: (2024)

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation
di: Shan, Dandan, et al.
Pubblicazione: (2025)

Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
di: Dai, Wei, et al.
Pubblicazione: (2024)

Medical Image Segmentation Using Directional Window Attention
di: Kareem, Daniya Najiha Abdul, et al.
Pubblicazione: (2024)

Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image Segmentation
di: Biswas, Risab
Pubblicazione: (2024)

Two-stage Deep Denoising with Self-guided Noise Attention for Multimodal Medical Images
di: Sharif, S M A, et al.
Pubblicazione: (2025)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
di: Jiang, Yufeng, et al.
Pubblicazione: (2024)

Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
di: Nam, Ju-Hyeon, et al.
Pubblicazione: (2024)

ParaTransCNN: Parallelized TransCNN Encoder for Medical Image Segmentation
di: Sun, Hongkun, et al.
Pubblicazione: (2024)

Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
di: Huang, Zhengyong, et al.
Pubblicazione: (2026)

SelfReg-UNet: Self-Regularized UNet for Medical Image Segmentation
di: Zhu, Wenhui, et al.
Pubblicazione: (2024)

Deep Distance Map Regression Network with Shape-aware Loss for Imbalanced Medical Image Segmentation
di: Li, Huiyu, et al.
Pubblicazione: (2025)

Dilated Strip Attention Network for Image Restoration
di: Hao, Fangwei, et al.
Pubblicazione: (2024)

AstMatch: Adversarial Self-training Consistency Framework for Semi-Supervised Medical Image Segmentation
di: Zhu, Guanghao, et al.
Pubblicazione: (2024)

Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis
di: Hu, Yuxiang, et al.
Pubblicazione: (2024)

Deconver: A Deconvolutional Network for Medical Image Segmentation
di: Ashtari, Pooya, et al.
Pubblicazione: (2025)

MS-IQA: A Multi-Scale Feature Fusion Network for PET/CT Image Quality Assessment
di: Li, Siqiao, et al.
Pubblicazione: (2025)

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
di: Schutte, Philip, et al.
Pubblicazione: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
di: Ulrich, Constantin, et al.
Pubblicazione: (2023)

MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation
di: Zeng, Yucheng
Pubblicazione: (2025)

PMR-Net: Parallel Multi-Resolution Encoder-Decoder Network Framework for Medical Image Segmentation
di: Du, Xiaogang, et al.
Pubblicazione: (2024)

Rethinking Boundary Detection in Deep Learning-Based Medical Image Segmentation
di: Lin, Yi, et al.
Pubblicazione: (2025)

One-Prompt to Segment All Medical Images
di: Wu, Junde, et al.
Pubblicazione: (2023)

Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
di: Shang, Liang, et al.
Pubblicazione: (2025)

Susceptibility of Adversarial Attack on Medical Image Segmentation Models
di: Wang, Zhongxuan, et al.
Pubblicazione: (2024)

3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
di: Huang, Huan, et al.
Pubblicazione: (2024)

Region Attention Transformer for Medical Image Restoration
di: Yang, Zhiwen, et al.
Pubblicazione: (2024)

Optimizing Medical Image Segmentation with Advanced Decoder Design
di: Yang, Weibin, et al.
Pubblicazione: (2024)

MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network
di: Yu, Ruiguo, et al.
Pubblicazione: (2025)

Multi-level Attention-guided Graph Neural Network for Image Restoration
di: Jiang, Jiatao, et al.
Pubblicazione: (2025)

The Effect of Lossy Compression on 3D Medical Images Segmentation with Deep Learning
di: Kurmukov, Anvar, et al.
Pubblicazione: (2024)

Vision-Language Controlled Deep Unfolding for Joint Medical Image Restoration and Segmentation
di: Chen, Ping, et al.
Pubblicazione: (2026)

Segment Anything in Medical Images
di: Ma, Jun, et al.
Pubblicazione: (2023)

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
di: Khan, Abdul Rehman, et al.
Pubblicazione: (2023)