Imagen de Portada

D2-LRR: A Dual-Decomposed MDLatLRR Approach for Medical Image Fusion

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Song, Xu, Shen, Tianyu, Li, Hui, Wu, Xiao-Jun
Formato:	Preprint
Publicado:	2022
Materias:	Image and Video Processing Computer Vision and Pattern Recognition Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

D2-MLP: Dynamic Decomposed MLP Mixer for Medical Image Segmentation
por: Yang, Jin, et al.
Publicado: (2024)

Conformal Lesion Segmentation for 3D Medical Images
por: Tan, Binyu, et al.
Publicado: (2025)

DBF-Net: A Dual-Branch Network with Feature Fusion for Ultrasound Image Segmentation
por: Xu, Guoping, et al.
Publicado: (2024)

CLOG-CD: Curriculum Learning based on Oscillating Granularity of Class Decomposed Medical Image Classification
por: Abbas, Asmaa, et al.
Publicado: (2025)

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

Unregistered Spectral Image Fusion: Unmixing, Adversarial Learning, and Recoverability
por: Song, Jiahui, et al.
Publicado: (2026)

D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation
por: Yang, Jin, et al.
Publicado: (2024)

KANDU-Net:A Dual-Channel U-Net with KAN for Medical Image Segmentation
por: Fang, Chenglin, et al.
Publicado: (2024)

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

Simultaneous Tri-Modal Medical Image Fusion and Super-Resolution using Conditional Diffusion Model
por: Xu, Yushen, et al.
Publicado: (2024)

DLF: Extreme Image Compression with Dual-generative Latent Fusion
por: Xue, Naifu, et al.
Publicado: (2025)

Double-Shot 3D Shape Measurement with a Dual-Branch Network for Structured Light Projection Profilometry
por: Lei, Mingyang, et al.
Publicado: (2024)

Multi-Aperture Fusion of Transformer-Convolutional Network (MFTC-Net) for 3D Medical Image Segmentation and Visualization
por: Shabani, Siyavash, et al.
Publicado: (2024)

3D MedDiffusion: A 3D Medical Latent Diffusion Model for Controllable and High-quality Medical Image Generation
por: Wang, Haoshen, et al.
Publicado: (2024)

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

Dual-Alignment Knowledge Retention for Continual Medical Image Segmentation
por: Ye, Yuxin, et al.
Publicado: (2025)

W-DUALMINE: Reliability-Weighted Dual-Expert Fusion With Residual Correlation Preservation for Medical Image Fusion
por: Islam, Md. Jahidul
Publicado: (2026)

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

Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
por: Yang, Zhiwen, et al.
Publicado: (2024)

Dual-Decoder Consistency via Pseudo-Labels Guided Data Augmentation for Semi-Supervised Medical Image Segmentation
por: Chen, Yuanbin, et al.
Publicado: (2023)

DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling
por: Ji, Hangyu
Publicado: (2025)

Prompt-Guided Dual-Path UNet with Mamba for Medical Image Segmentation
por: Zhang, Shaolei, et al.
Publicado: (2025)

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

FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images
por: Shen, Yiqing, et al.
Publicado: (2024)

Diffusion-Based Approaches in Medical Image Generation and Analysis
por: Nafi, Abdullah al Nomaan, et al.
Publicado: (2024)

Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
por: Huang, Tianyu, et al.
Publicado: (2024)

MTMed3D: A Multi-Task Transformer-Based Model for 3D Medical Imaging
por: Li, Fan, et al.
Publicado: (2025)

Segment Anything in Medical Images
por: Ma, Jun, et al.
Publicado: (2023)

Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning
por: Jiang, Runmin, et al.
Publicado: (2024)

MARformer: An Efficient Metal Artifact Reduction Transformer for Dental CBCT Images
por: Shi, Yuxuan, et al.
Publicado: (2023)

FusionINN: Decomposable Image Fusion for Brain Tumor Monitoring
por: Kumar, Nishant, et al.
Publicado: (2024)

Towards 3D Semantic Image Synthesis for Medical Imaging
por: Tang, Wenwu, et al.
Publicado: (2025)

Compressive Imaging Reconstruction via Tensor Decomposed Multi-Resolution Grid Encoding
por: Jin, Zhenyu, et al.
Publicado: (2025)

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

Generative Enhancement for 3D Medical Images
por: Zhu, Lingting, et al.
Publicado: (2024)

Rethinking Medical Anomaly Detection in Brain MRI: An Image Quality Assessment Perspective
por: Pan, Zixuan, et al.
Publicado: (2024)

Recurrent Inference Machine for Medical Image Registration
por: Zhang, Yi, et al.
Publicado: (2024)

FDDM: Frequency-Decomposed Diffusion Model for Rectum Cancer Dose Prediction in Radiotherapy
por: Liao, Xin, et al.
Publicado: (2024)

SAM2-3dMed: Empowering SAM2 for 3D Medical Image Segmentation
por: Yang, Yeqing, et al.
Publicado: (2025)

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