Copertina

PASS:Test-Time Prompting to Adapt Styles and Semantic Shapes in Medical Image Segmentation

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Chuyan, Zheng, Hao, You, Xin, Zheng, Yefeng, Gu, Yun
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Self-Supervised Learning for Medical Image Data with Anatomy-Oriented Imaging Planes
di: Zhang, Tianwei, et al.
Pubblicazione: (2024)

FedSemiDG: Domain Generalized Federated Semi-supervised Medical Image Segmentation
di: Deng, Zhipeng, et al.
Pubblicazione: (2025)

Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
di: Zhang, Yumin, et al.
Pubblicazione: (2024)

Beyond Low-Rank Tuning: Model Prior-Guided Rank Allocation for Effective Transfer in Low-Data and Large-Gap Regimes
di: Zhang, Chuyan, et al.
Pubblicazione: (2025)

Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
di: Yi, Jingjun, et al.
Pubblicazione: (2024)

SPEGC: Continual Test-Time Adaptation via Semantic-Prompt-Enhanced Graph Clustering for Medical Image Segmentation
di: Du, Xiaogang, et al.
Pubblicazione: (2026)

Adapting a Segmentation Foundation Model for Medical Image Classification
di: Gu, Pengfei, et al.
Pubblicazione: (2025)

InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
di: Lin, Jiayi, et al.
Pubblicazione: (2024)

Robust Source-Free Domain Adaptation for Medical Image Segmentation based on Curriculum Learning
di: Zhang, Ziqi, et al.
Pubblicazione: (2025)

VISTA: Variance-Gated Inter-Sequence Test-Time Adaptation for Multi-Sequence MRI Segmentation
di: Deng, Zhipeng, et al.
Pubblicazione: (2026)

Curriculum Prompting Foundation Models for Medical Image Segmentation
di: Zheng, Xiuqi, et al.
Pubblicazione: (2024)

Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation
di: Wu, Junde, et al.
Pubblicazione: (2023)

Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation
di: Chen, Ziyang, et al.
Pubblicazione: (2023)

SAGE: Style-Adaptive Generalization for Privacy-Constrained Semantic Segmentation Across Domains
di: Li, Qingmei, et al.
Pubblicazione: (2025)

Adapting Segment Anything Model 3 for Concept-Driven Lesion Segmentation in Medical Images: An Experimental Study
di: Xu, Guoping, et al.
Pubblicazione: (2026)

FB-Diff: Fourier Basis-guided Diffusion for Temporal Interpolation of 4D Medical Imaging
di: You, Xin, et al.
Pubblicazione: (2025)

Multi-Scale Global-Instance Prompt Tuning for Continual Test-time Adaptation in Medical Image Segmentation
di: Li, Lingrui, et al.
Pubblicazione: (2026)

Test-Time Modality Generalization for Medical Image Segmentation
di: Nam, Ju-Hyeon, et al.
Pubblicazione: (2025)

Progressive Test Time Energy Adaptation for Medical Image Segmentation
di: Zhang, Xiaoran, et al.
Pubblicazione: (2025)

SegTTA: Training-Free Test-Time Augmentation for Zero-Shot Medical Imaging Segmentation
di: Yao, Yihong, et al.
Pubblicazione: (2026)

Skip and Skip: Segmenting Medical Images with Prompts
di: Chen, Jiawei, et al.
Pubblicazione: (2024)

TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation
di: Zhou, Jiale, et al.
Pubblicazione: (2025)

Prompting Segment Anything Model with Domain-Adaptive Prototype for Generalizable Medical Image Segmentation
di: Wei, Zhikai, et al.
Pubblicazione: (2024)

PPBoost: Progressive Prompt Boosting for Text-Driven Medical Image Segmentation
di: Li, Xuchen, et al.
Pubblicazione: (2025)

SLoRD: Structural Low-Rank Descriptors for Shape Consistency in Vertebrae Segmentation
di: You, Xin, et al.
Pubblicazione: (2024)

Shape-preserving Tooth Segmentation from CBCT Images Using Deep Learning with Semantic and Shape Awareness
di: Ji, Zongrui, et al.
Pubblicazione: (2025)

ReshapeIT: Reliable Shape Interaction with Implicit Template for Anatomical Structure Reconstruction
di: Zhang, Minghui, et al.
Pubblicazione: (2023)

Self-Prompt SAM: Medical Image Segmentation via Automatic Prompt SAM Adaptation
di: Xie, Bin, et al.
Pubblicazione: (2025)

Unified and Semantically Grounded Domain Adaptation for Medical Image Segmentation
di: Wang, Xin, et al.
Pubblicazione: (2025)

Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation
di: Zheng, Xu, et al.
Pubblicazione: (2024)

S$^3$-TTA: Scale-Style Selection for Test-Time Augmentation in Biomedical Image Segmentation
di: Xie, Kangxian, et al.
Pubblicazione: (2023)

DFEN: Dual Feature Equalization Network for Medical Image Segmentation
di: Yin, Jianjian, et al.
Pubblicazione: (2025)

Adapting Foundation Models for Few-Shot Medical Image Segmentation: Actively and Sequentially
di: Yang, Jingyun, et al.
Pubblicazione: (2025)

Reflecting Topology Consistency and Abnormality via Learnable Attentions for Airway Labeling
di: Li, Chenyu, et al.
Pubblicazione: (2024)

SD-FSMIS: Adapting Stable Diffusion for Few-Shot Medical Image Segmentation
di: Li, Meihua, et al.
Pubblicazione: (2026)

RAP: Retrieve, Adapt, and Prompt-Fit for Training-Free Few-Shot Medical Image Segmentation
di: Mao, Zhihao, et al.
Pubblicazione: (2026)

SAM-aware Test-time Adaptation for Universal Medical Image Segmentation
di: Wu, Jianghao, et al.
Pubblicazione: (2025)

Boundary-Aware Test-Time Adaptation for Zero-Shot Medical Image Segmentation
di: Xu, Chenlin, et al.
Pubblicazione: (2025)

Gradient Alignment Improves Test-Time Adaptation for Medical Image Segmentation
di: Chen, Ziyang, et al.
Pubblicazione: (2024)

RESTORE: Towards Feature Shift for Vision-Language Prompt Learning
di: Yang, Yuncheng, et al.
Pubblicazione: (2024)