Rethinking Brain Tumor Segmentation from the Frequency Domain Perspective
Fuente:
arXiv
Saved in:
| Main Authors: | Shao, Minye, Wang, Zeyu, Duan, Haoran, Huang, Yawen, Zhai, Bing, Wang, Shizheng, Long, Yang, Zheng, Yefeng |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Frequency-Based Federated Domain Generalization for Polyp Segmentation
by: Pan, Hongyi, et al.
Published: (2024)
by: Pan, Hongyi, et al.
Published: (2024)
Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023)
by: Zhang, Peng, et al.
Published: (2023)
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024)
by: Fu, Jingru, et al.
Published: (2024)
Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026)
by: Wang, Yuchun, et al.
Published: (2026)
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)
by: Shen, Yiqing, et al.
Published: (2024)
Towards Modality-Agnostic Continual Domain-Incremental Brain Lesion Segmentation
by: Sadegheih, Yousef, et al.
Published: (2026)
by: Sadegheih, Yousef, et al.
Published: (2026)
Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
by: Yi, Yuxiao, et al.
Published: (2025)
by: Yi, Yuxiao, et al.
Published: (2025)
Semantic-guided Masked Mutual Learning for Multi-modal Brain Tumor Segmentation with Arbitrary Missing Modalities
by: Liang, Guoyan, et al.
Published: (2025)
by: Liang, Guoyan, et al.
Published: (2025)
Prototype-Based Approach for One-Shot Segmentation of Brain Tumors using Few-Shot Learning
by: Ayman, Ahmed
Published: (2023)
by: Ayman, Ahmed
Published: (2023)
Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
by: Pan, Zixuan, et al.
Published: (2024)
by: Pan, Zixuan, et al.
Published: (2024)
Brain Tumor Detection Based on a Novel and High-Quality Prediction of the Tumor Pixel Distributions
by: Sun, Yanming, et al.
Published: (2023)
by: Sun, Yanming, et al.
Published: (2023)
Intermediate Domain-guided Adaptation for Unsupervised Chorioallantoic Membrane Vessel Segmentation
by: Song, Pengwu, et al.
Published: (2025)
by: Song, Pengwu, et al.
Published: (2025)
K-Space-Aware Cross-Modality Score for Synthesized Neuroimage Quality Assessment
by: Xie, Guoyang, et al.
Published: (2023)
by: Xie, Guoyang, et al.
Published: (2023)
SpeHeatal: A Cluster-Enhanced Segmentation Method for Sperm Morphology Analysis
by: Shi, Yi, et al.
Published: (2025)
by: Shi, Yi, et al.
Published: (2025)
Fed-MUnet: Multi-modal Federated Unet for Brain Tumor Segmentation
by: Zhou, Ruojun, et al.
Published: (2024)
by: Zhou, Ruojun, et al.
Published: (2024)
A Literature Review on Fetus Brain Motion Correction in MRI
by: Zhang, Haoran, et al.
Published: (2024)
by: Zhang, Haoran, et al.
Published: (2024)
MBA-Net: SAM-driven Bidirectional Aggregation Network for Ovarian Tumor Segmentation
by: Gao, Yifan, et al.
Published: (2024)
by: Gao, Yifan, et al.
Published: (2024)
The Brain Tumor Segmentation (BraTS) Challenge 2023: Brain MR Image Synthesis for Tumor Segmentation (BraSyn)
by: Li, Hongwei Bran, et al.
Published: (2023)
by: Li, Hongwei Bran, et al.
Published: (2023)
LiNUS: Lightweight Automatic Segmentation of Deep Brain Nuclei for Real-Time DBS Surgery
by: Zhang, Shuo, et al.
Published: (2026)
by: Zhang, Shuo, et al.
Published: (2026)
Adapting SAM for Surgical Instrument Tracking and Segmentation in Endoscopic Submucosal Dissection Videos
by: Yu, Jieming, et al.
Published: (2024)
by: Yu, Jieming, et al.
Published: (2024)
The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
by: Moawad, Ahmed W., et al.
Published: (2023)
by: Moawad, Ahmed W., et al.
Published: (2023)
Task-oriented Uncertainty Collaborative Learning for Label-Efficient Brain Tumor Segmentation
by: Zhang, Zhenxuan, et al.
Published: (2025)
by: Zhang, Zhenxuan, et al.
Published: (2025)
An Ensemble Approach for Brain Tumor Segmentation and Synthesis
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)
by: Rivera, Juampablo E. Heras, et al.
Published: (2024)
MIP-Based Tumor Segmentation: A Radiologist-Inspired Approach
by: Zarik, Romario, et al.
Published: (2025)
by: Zarik, Romario, et al.
Published: (2025)
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans
by: Song, Changwei, et al.
Published: (2024)
by: Song, Changwei, et al.
Published: (2024)
Rethink Domain Generalization in Heterogeneous Sequence MRI Segmentation
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
Brain Tumor Segmentation Based on Deep Learning, Attention Mechanisms, and Energy-Based Uncertainty Prediction
by: Schwehr, Zachary, et al.
Published: (2023)
by: Schwehr, Zachary, et al.
Published: (2023)
WaveNet-SF: A Hybrid Network for Retinal Disease Detection Based on Wavelet Transform in Spatial-Frequency Domain
by: Cheng, Jilan, et al.
Published: (2025)
by: Cheng, Jilan, et al.
Published: (2025)
AMGFormer: Adaptive Multi-Granular Transformer for Brain Tumor Segmentation with Missing Modalities
by: Guo, Chengxiang, et al.
Published: (2026)
by: Guo, Chengxiang, et al.
Published: (2026)
Anatomical Consistency Distillation and Inconsistency Synthesis for Brain Tumor Segmentation with Missing Modalities
by: Zhang, Zheyu, et al.
Published: (2024)
by: Zhang, Zheyu, et al.
Published: (2024)
Automating Vessel Segmentation in the Heart and Brain: A Trend to Develop Multi-Modality and Label-Efficient Deep Learning Techniques
by: Elsayed, Nazik, et al.
Published: (2024)
by: Elsayed, Nazik, et al.
Published: (2024)
FEFormer: Frequency-enhanced Vision Transformer for Generic Knowledge Extraction and Adaptive Feature Fusion in Volumetric Medical Image Segmentation
by: Yang, Jin, et al.
Published: (2026)
by: Yang, Jin, et al.
Published: (2026)
BRISC: Annotated Dataset for Brain Tumor Segmentation and Classification
by: Fateh, Amirreza, et al.
Published: (2025)
by: Fateh, Amirreza, et al.
Published: (2025)
A New Logic For Pediatric Brain Tumor Segmentation
by: Bengtsson, Max, et al.
Published: (2024)
by: Bengtsson, Max, et al.
Published: (2024)
Keep the Core: Adversarial Priors for Significance-Preserving Brain MRI Segmentation
by: Zhang, Feifei, et al.
Published: (2025)
by: Zhang, Feifei, et al.
Published: (2025)
Modality-Agnostic Brain Lesion Segmentation with Privacy-aware Continual Learning
by: Sadegheih, Yousef, et al.
Published: (2025)
by: Sadegheih, Yousef, et al.
Published: (2025)
CTseg: A Tool for Brain CT Segmentation, Spatial Normalisation, and Volumetrics
by: Brudfors, Mikael
Published: (2026)
by: Brudfors, Mikael
Published: (2026)
Brain MRI detection by Sematic Segmentation models- Transfer Learning approach
by: Vajiram, Jayanthi, et al.
Published: (2024)
by: Vajiram, Jayanthi, et al.
Published: (2024)
TexLiverNet: Leveraging Medical Knowledge and Spatial-Frequency Perception for Enhanced Liver Tumor Segmentation
by: Jiang, Xiaoyan, et al.
Published: (2024)
by: Jiang, Xiaoyan, et al.
Published: (2024)
Rethinking Polyp Segmentation from an Out-of-Distribution Perspective
by: Ji, Ge-Peng, et al.
Published: (2023)
by: Ji, Ge-Peng, et al.
Published: (2023)
Similar Items
-
Frequency-Based Federated Domain Generalization for Polyp Segmentation
by: Pan, Hongyi, et al.
Published: (2024) -
Segment Anything Model for Brain Tumor Segmentation
by: Zhang, Peng, et al.
Published: (2023) -
Unsupervised Domain Adaptation for Pediatric Brain Tumor Segmentation
by: Fu, Jingru, et al.
Published: (2024) -
Degradation-Aware Blur-Segmentation of Brain Tumor
by: Wang, Yuchun, et al.
Published: (2026) -
Promptable Counterfactual Diffusion Model for Unified Brain Tumor Segmentation and Generation with MRIs
by: Shen, Yiqing, et al.
Published: (2024)