Image de couverture de livre

MCANet: Medical Image Segmentation with Multi-Scale Cross-Axis Attention

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Shao, Hao, Zeng, Quansheng, Hou, Qibin, Yang, Jufeng
Format:	Preprint
Publié:	2023
Sujets:	Image and Video Processing Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation
par: Khan, Abdul Rehman, et autres
Publié: (2023)

MS-Twins: Multi-Scale Deep Self-Attention Networks for Medical Image Segmentation
par: Xu, Jing
Publié: (2023)

3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention
par: Huang, Huan, et autres
Publié: (2024)

Stroke Lesion Segmentation using Multi-Stage Cross-Scale Attention
par: Shang, Liang, et autres
Publié: (2025)

Dual Cross-Attention for Medical Image Segmentation
par: Ates, Gorkem Can, et autres
Publié: (2023)

MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation
par: Tian, Peiting, et autres
Publié: (2025)

EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation
par: Rahman, Md Mostafijur, et autres
Publié: (2024)

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

Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
par: Dai, Wei, et autres
Publié: (2024)

Medical Image Segmentation Using Directional Window Attention
par: Kareem, Daniya Najiha Abdul, et autres
Publié: (2024)

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

Mind the Context: Attention-Guided Weak-to-Strong Consistency for Enhanced Semi-Supervised Medical Image Segmentation
par: Cheng, Yuxuan, et autres
Publié: (2024)

MSA$^2$Net: Multi-scale Adaptive Attention-guided Network for Medical Image Segmentation
par: Kolahi, Sina Ghorbani, et autres
Publié: (2024)

Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention
par: Nam, Ju-Hyeon, et autres
Publié: (2024)

SWAN: Synergistic Wavelet-Attention Network for Infrared Small Target Detection
par: Jing, Yuxin, et autres
Publié: (2025)

Spatial-Frequency Dual Progressive Attention Network For Medical Image Segmentation
par: Zhou, Zhenhuan, et autres
Publié: (2024)

Adenocarcinoma Segmentation Using Pre-trained Swin-UNet with Parallel Cross-Attention for Multi-Domain Imaging
par: Qayyum, Abdul, et autres
Publié: (2024)

Exploration of Multi-Scale Image Fusion Systems in Intelligent Medical Image Analysis
par: Hu, Yuxiang, et autres
Publié: (2024)

FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
par: Schutte, Philip, et autres
Publié: (2024)

STPNet: Scale-aware Text Prompt Network for Medical Image Segmentation
par: Shan, Dandan, et autres
Publié: (2025)

Region Attention Transformer for Medical Image Restoration
par: Yang, Zhiwen, et autres
Publié: (2024)

MultiTalent: A Multi-Dataset Approach to Medical Image Segmentation
par: Ulrich, Constantin, et autres
Publié: (2023)

A Flexible 2.5D Medical Image Segmentation Approach with In-Slice and Cross-Slice Attention
par: Kumar, Amarjeet, et autres
Publié: (2024)

FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
par: Lu, Fang, et autres
Publié: (2025)

CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
par: Liu, Xiao, et autres
Publié: (2024)

Segment Anything in Medical Images
par: Ma, Jun, et autres
Publié: (2023)

Rethinking Attention Gated with Hybrid Dual Pyramid Transformer-CNN for Generalized Segmentation in Medical Imaging
par: Bougourzi, Fares, et autres
Publié: (2024)

MLRU++: Multiscale Lightweight Residual UNETR++ with Attention for Efficient 3D Medical Image Segmentation
par: Yadav, Nand Kumar, et autres
Publié: (2025)

Cross-conditioned Diffusion Model for Medical Image to Image Translation
par: Xing, Zhaohu, et autres
Publié: (2024)

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation
par: Ruan, Jiacheng, et autres
Publié: (2023)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
par: Bi, Yali, et autres
Publié: (2025)

MLLA-UNet: Mamba-like Linear Attention in an Efficient U-Shape Model for Medical Image Segmentation
par: Jiang, Yufeng, et autres
Publié: (2024)

Partial Decoder Attention Network with Contour-weighted Loss Function for Data-Imbalance Medical Image Segmentation
par: Huang, Zhengyong, et autres
Publié: (2026)

GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation
par: Sun, Chengkun, et autres
Publié: (2024)

CrossFusion: A Multi-Scale Cross-Attention Convolutional Fusion Model for Cancer Survival Prediction
par: Soraki, Rustin, et autres
Publié: (2025)

Boosting Convolution with Efficient MLP-Permutation for Volumetric Medical Image Segmentation
par: Lin, Yi, et autres
Publié: (2023)

DMC-Net: Lightweight Dynamic Multi-Scale and Multi-Resolution Convolution Network for Pancreas Segmentation in CT Images
par: Yang, Jin, et autres
Publié: (2024)

Optimizing Medical Image Segmentation with Advanced Decoder Design
par: Yang, Weibin, et autres
Publié: (2024)

Segmenting Medical Images with Limited Data
par: Liua, Zhaoshan, et autres
Publié: (2024)

MOSAIC: A Multi-View 2.5D Organ Slice Selector with Cross-Attentional Reasoning for Anatomically-Aware CT Localization in Medical Organ Segmentation
par: Ghouse, Hania, et autres
Publié: (2025)