Cover Image

Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sui, An, Li, Yuzhu, Schumann, Gunter, Wu, Fuping, Zhuang, Xiahai
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Supervised Interpretable and Robust Evidential Segmentation
by: Li, Yuzhu, et al.
Published: (2025)

InDeed: Interpretable image deep decomposition with guaranteed generalizability
by: Wang, Sihan, et al.
Published: (2025)

Beyond Forgetting in Continual Medical Image Segmentation: A Comprehensive Benchmark Study
by: Wang, Bomin, et al.
Published: (2026)

Toward Universal Medical Image Registration via Sharpness-Aware Meta-Continual Learning
by: Wang, Bomin, et al.
Published: (2024)

Learning Concept-Driven Logical Rules for Interpretable and Generalizable Medical Image Classification
by: Gao, Yibo, et al.
Published: (2025)

Enhancing Dual Network Based Semi-Supervised Medical Image Segmentation with Uncertainty-Guided Pseudo-Labeling
by: Lu, Yunyao, et al.
Published: (2025)

Few-Shot Video Object Segmentation in X-Ray Angiography Using Local Matching and Spatio-Temporal Consistency Loss
by: Xi, Lin, et al.
Published: (2026)

Quality-Guided Semi-Supervised Learning for Medical Image Segmentation
by: Abhishek, Kumar, et al.
Published: (2026)

Pareto-Guided Optimization for Uncertainty-Aware Medical Image Segmentation
by: Zhang, Jinming, et al.
Published: (2026)

Bidirectional Uncertainty-Aware Region Learning for Semi-Supervised Medical Image Segmentation
by: Zhou, Shiwei, et al.
Published: (2025)

X-Edit: Exact, Explicit, and Explainable Null-Space Editing for Medical Vision Transformers
by: Liu, Yuanye, et al.
Published: (2026)

Semi-Supervised Multi-Modal Medical Image Segmentation for Complex Situations
by: Meng, Dongdong, et al.
Published: (2025)

Self-Supervised Alignment Learning for Medical Image Segmentation
by: Li, Haofeng, et al.
Published: (2024)

Semi-Supervised Medical Image Segmentation via Dual Networks
by: Lu, Yunyao, et al.
Published: (2025)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)

Uncertainty-Guided Cross Attention Ensemble Mean Teacher for Semi-supervised Medical Image Segmentation
by: Karri, Meghana, et al.
Published: (2024)

Uncertainty and Energy based Loss Guided Semi-Supervised Semantic Segmentation
by: Thakur, Rini Smita, et al.
Published: (2025)

Contrastive Learning with Diffusion Features for Weakly Supervised Medical Image Segmentation
by: Zeng, Dewen, et al.
Published: (2025)

Uncertainty-aware Cross-training for Semi-supervised Medical Image Segmentation
by: Huang, Kaiwen, et al.
Published: (2025)

Adaptive Mix for Semi-Supervised Medical Image Segmentation
by: Shen, Zhiqiang, et al.
Published: (2024)

SAM-Fed: SAM-Guided Federated Semi-Supervised Learning for Medical Image Segmentation
by: Nasirihaghighi, Sahar, et al.
Published: (2025)

SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation
by: Yan, Ke, et al.
Published: (2024)

Evidential Calibrated Uncertainty-Guided Interactive Segmentation paradigm for Ultrasound Images
by: Shang, Jiang, et al.
Published: (2025)

Uncertainty-Aware Extreme Point Tracing for Weakly Supervised Ultrasound Image Segmentation
by: Shi, Lei, et al.
Published: (2025)

TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation
by: Wang, Ranmin, et al.
Published: (2024)

ZScribbleSeg: A comprehensive segmentation framework with modeling of efficient annotation and maximization of scribble supervision
by: Zhang, Ke, et al.
Published: (2026)

Navigating Uncertainty in Medical Image Segmentation
by: Zepf, Kilian, et al.
Published: (2024)

MERIT: Multi-view evidential learning for reliable and interpretable liver fibrosis staging
by: Liu, Yuanye, et al.
Published: (2024)

Bayesian Unsupervised Disentanglement of Anatomy and Geometry for Deep Groupwise Image Registration
by: Luo, Xinzhe, et al.
Published: (2024)

Adaptive Bidirectional Displacement for Semi-Supervised Medical Image Segmentation
by: Chi, Hanyang, et al.
Published: (2024)

Average Calibration Losses for Reliable Uncertainty in Medical Image Segmentation
by: Barfoot, Theodore, et al.
Published: (2025)

Uncertainty-Aware Information Pursuit for Interpretable and Reliable Medical Image Analysis
by: Nahiduzzaman, Md, et al.
Published: (2025)

SparseMamba-PCL: Scribble-Supervised Medical Image Segmentation via SAM-Guided Progressive Collaborative Learning
by: Qiu, Luyi, et al.
Published: (2025)

Prior-Guided Residual Diffusion: Calibrated and Efficient Medical Image Segmentation
by: Mao, Fuyou, et al.
Published: (2025)

Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations
by: Li, Ming, et al.
Published: (2024)

Diverse Teaching and Label Propagation for Generic Semi-Supervised Medical Image Segmentation
by: Li, Wei, et al.
Published: (2025)

Language Guided Domain Generalized Medical Image Segmentation
by: Kunhimon, Shahina, et al.
Published: (2024)

Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
by: Li, Jun, et al.
Published: (2026)

DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation
by: Pan, Qingtao, et al.
Published: (2024)

Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation
by: Su, Junming, et al.
Published: (2024)