Cover Image

Learning Multi-axis Representation in Frequency Domain for Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ruan, Jiacheng, Gao, Jingsheng, Xie, Mingye, Xiang, Suncheng
Format:	Preprint
Published:	2023
Subjects:	Image and Video Processing Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

VM-UNet: Vision Mamba UNet for Medical Image Segmentation
by: Ruan, Jiacheng, et al.
Published: (2024)

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

FMD-TransUNet: Abdominal Multi-Organ Segmentation Based on Frequency Domain Multi-Axis Representation Learning and Dual Attention Mechanisms
by: Lu, Fang, et al.
Published: (2025)

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

Enhancing Medical Image Segmentation with Deep Learning and Diffusion Models
by: Liu, Houze, et al.
Published: (2024)

DeSAM: Decoupled Segment Anything Model for Generalizable Medical Image Segmentation
by: Gao, Yifan, et al.
Published: (2023)

SAM-Guided Robust Representation Learning for One-Shot 3D Medical Image Segmentation
by: Wang, Jia, et al.
Published: (2025)

FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation
by: Xing, Ruiqi
Published: (2025)

MM-UNet: Meta Mamba UNet for Medical Image Segmentation
by: Xie, Bin, et al.
Published: (2025)

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

Deep Learning Approaches for Data Augmentation in Medical Imaging: A Review
by: Kebaili, Aghiles, et al.
Published: (2023)

Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2025)

Tyche: Stochastic In-Context Learning for Medical Image Segmentation
by: Rakic, Marianne, et al.
Published: (2024)

Large-Vocabulary Segmentation for Medical Images with Text Prompts
by: Zhao, Ziheng, et al.
Published: (2023)

Adaptive Frequency Enhancement Network for Remote Sensing Image Semantic Segmentation
by: Gao, Feng, et al.
Published: (2025)

Gaussian Random Fields as an Abstract Representation of Patient Metadata for Multimodal Medical Image Segmentation
by: Cassidy, Bill, et al.
Published: (2025)

Segment Anything in Medical Images
by: Ma, Jun, et al.
Published: (2023)

Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
by: Shao, Minye, et al.
Published: (2025)

M3DA: Benchmark for Unsupervised Domain Adaptation in 3D Medical Image Segmentation
by: Shirokikh, Boris, et al.
Published: (2025)

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

Adversarial Neural Networks in Medical Imaging Advancements and Challenges in Semantic Segmentation
by: Liu, Houze, et al.
Published: (2024)

Multi-Prototype Embedding Refinement for Semi-Supervised Medical Image Segmentation
by: Bi, Yali, et al.
Published: (2025)

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

DRL-STNet: Unsupervised Domain Adaptation for Cross-modality Medical Image Segmentation via Disentangled Representation Learning
by: Lin, Hui, et al.
Published: (2024)

Distillation Learning Guided by Image Reconstruction for One-Shot Medical Image Segmentation
by: Zhou, Feng, et al.
Published: (2024)

Foundation Model for Whole-Heart Segmentation: Leveraging Student-Teacher Learning in Multi-Modal Medical Imaging
by: Qayyum, Abdul, et al.
Published: (2025)

Bridging the Inter-Domain Gap through Low-Level Features for Cross-Modal Medical Image Segmentation
by: Lyu, Pengfei, et al.
Published: (2025)

Segmenting Medical Images with Limited Data
by: Liua, Zhaoshan, et al.
Published: (2024)

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

Structure-Accurate Medical Image Translation via Dynamic Frequency Balance and Knowledge Guidance
by: Xu, Jiahua, et al.
Published: (2025)

Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images
by: Javed, Syed, et al.
Published: (2024)

SPIRONet: Spatial-Frequency Learning and Topological Channel Interaction Network for Vessel Segmentation
by: Huang, De-Xing, et al.
Published: (2024)

Stronger is not better: Better Augmentations in Contrastive Learning for Medical Image Segmentation
by: Idris, Azeez, et al.
Published: (2025)

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

When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic Segmentation
by: Wang, Ziyang, et al.
Published: (2022)

CSWin-UNet: Transformer UNet with Cross-Shaped Windows for Medical Image Segmentation
by: Liu, Xiao, et al.
Published: (2024)

CTI-Unet: Cascaded Threshold Integration for Improved U-Net Segmentation of Pathology Images
by: Zhu, Mingyang, et al.
Published: (2025)

CP-UNet: Contour-based Probabilistic Model for Medical Ultrasound Images Segmentation
by: Yu, Ruiguo, et al.
Published: (2024)

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

FreqINR: Frequency Consistency for Implicit Neural Representation with Adaptive DCT Frequency Loss
by: Wei, Meiyi, et al.
Published: (2024)