Image de couverture de livre

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Mao, Fuyou, Wu, Beining, Jiang, Yanfeng, Xue, Han, Tang, Yan, Zhang, Hao
Format:	Preprint
Publié:	2025
Sujets:	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

Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
par: Shang, Jiang, et autres
Publié: (2025)

Similarity Memory Prior is All You Need for Medical Image Segmentation
par: Tang, Hao, et autres
Publié: (2025)

TPGDiff: Hierarchical Triple-Prior Guided Diffusion for Image Restoration
par: Tu, Yanjie, et autres
Publié: (2026)

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
par: Zhu, Shengqian, et autres
Publié: (2025)

Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation
par: Lu, Jinpeng, et autres
Publié: (2025)

A Large Scale Benchmark for Test Time Adaptation Methods in Medical Image Segmentation
par: Yu, Wenjing, et autres
Publié: (2025)

Structure and Progress Aware Diffusion for Medical Image Segmentation
par: Song, Siyuan, et autres
Publié: (2026)

RFMedSAM 2: Automatic Prompt Refinement for Enhanced Volumetric Medical Image Segmentation with SAM 2
par: Xie, Bin, et autres
Publié: (2025)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
par: Xie, Bin, et autres
Publié: (2025)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
par: Zhang, Jinming, et autres
Publié: (2026)

DiffBoost: Enhancing Medical Image Segmentation via Text-Guided Diffusion Model
par: Zhang, Zheyuan, et autres
Publié: (2023)

ProGiDiff: Prompt-Guided Diffusion-Based Medical Image Segmentation
par: Lin, Yuan, et autres
Publié: (2026)

MoME: Mixture of Visual Language Medical Experts for Medical Imaging Segmentation
par: Rezvani, Arghavan, et autres
Publié: (2025)

Deep Convolutional Neural Networks Meet Variational Shape Compactness Priors for Image Segmentation
par: Zhang, Kehui, et autres
Publié: (2024)

Disentangled Textual Priors for Diffusion-based Image Super-Resolution
par: Jiang, Lei, et autres
Publié: (2026)

Instance Segmentation of Scene Sketches Using Natural Image Priors
par: Tang, Mia, et autres
Publié: (2025)

PG-SAM: Prior-Guided SAM with Medical for Multi-organ Segmentation
par: Zhong, Yiheng, et autres
Publié: (2025)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
par: Barfoot, Theodore, et autres
Publié: (2025)

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
par: Sui, An, et autres
Publié: (2026)

TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models
par: Zhang, Zhongwei, et autres
Publié: (2024)

HResFormer: Hybrid Residual Transformer for Volumetric Medical Image Segmentation
par: Ren, Sucheng, et autres
Publié: (2024)

Personalized Federated Learning with Residual Fisher Information for Medical Image Segmentation
par: Zhu, Meilu, et autres
Publié: (2026)

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution
par: Liu, Zihang, et autres
Publié: (2025)

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
par: Meng, Dongdong, et autres
Publié: (2025)

Residual-based Efficient Bidirectional Diffusion Model for Image Dehazing and Haze Generation
par: Liu, Bing, et autres
Publié: (2025)

All-in-One Medical Image Restoration with Latent Diffusion-Enhanced Vector-Quantized Codebook Prior
par: Chen, Haowei, et autres
Publié: (2025)

MaskSAM: Towards Auto-prompt SAM with Mask Classification for Volumetric Medical Image Segmentation
par: Xie, Bin, et autres
Publié: (2024)

Few-Shot Medical Image Segmentation with High-Fidelity Prototypes
par: Tang, Song, et autres
Publié: (2024)

SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation
par: Huang, Shuangping, et autres
Publié: (2024)

Is Foreground Prototype Sufficient? Few-Shot Medical Image Segmentation with Background-Fused Prototype
par: Tang, Song, et autres
Publié: (2024)

Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
par: Gao, Yunhe, et autres
Publié: (2023)

Coordinative Learning with Ordinal and Relational Priors for Volumetric Medical Image Segmentation
par: Wang, Haoyi
Publié: (2025)

Zero-Shot Low-Light Image Enhancement via Joint Frequency Domain Priors Guided Diffusion
par: He, Jinhong, et autres
Publié: (2024)

Large-Vocabulary Segmentation for Medical Images with Text Prompts
par: Zhao, Ziheng, et autres
Publié: (2023)

Degradation-Guided One-Step Image Super-Resolution with Diffusion Priors
par: Zhang, Aiping, et autres
Publié: (2024)

DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model
par: Zhang, Han, et autres
Publié: (2025)

SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation
par: Zhu, Hongjie, et autres
Publié: (2025)

Unsupervised Modality Adaptation with Text-to-Image Diffusion Models for Semantic Segmentation
par: Xia, Ruihao, et autres
Publié: (2024)

VidSplat: Gaussian Splatting Reconstruction with Geometry-Guided Video Diffusion Priors
par: Tang, Jimin, et autres
Publié: (2026)

Fuse & Calibrate: A bi-directional Vision-Language Guided Framework for Referring Image Segmentation
par: Yan, Yichen, et autres
Publié: (2024)