Segmentation Uncertainty Estimation

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5 papers in the last four weeks, up 67% on the four weeks before. 0.0% of all new papers.

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Latest papers 62

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Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation
Jun 3, 2026Bisheng Tang, Zhangfeng Ma, Chuchu Zhai +4Ultrasound Image Segmentation Medical Image Segmentation
School of Information Science and Engineering, Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang 422000, China · Xinshao County People’s Hospital, Shaoyang 422900, China
Energy-Aware NECO for Single-Pass Pixel-wise Out-of-Distribution Detection in Semantic Segmentation
May 28, 2026Boyuan Zhang, Huanshan Huang, Yifei CaoImage Segmentation OOD Detection
Ecole Polytechnique, Institut Polytechnique de Paris, Palaiseau, France. · CIAD, UTBM, Universit´e Marie et Louis Pasteur, France. · U2IS, ENSTA, Institut Polytechnique de Paris, France.
Measuring Prediction Uncertainty in Neural Cellular Automata
May 26, 2026Ario Sadafi, Michael Deutges, Nassir Navab +1Neural Cellular Automata Image Segmentation
Computational Health Center, Helmholtz Munich, Neuherberg, Germany · Helmholtz AI, Helmholtz Munich, Neuherberg, Germany · Computer Aided Medical Procedures, Technical University of Munich, Munich, Germany +4
Are We Overconfident in Models and Results for Semi-Supervised 3D Medical Image Segmentation?
May 25, 2026Jun Li, Ziwei QinBenchmark Contamination Semi-Supervised Medical Image Segmentation
Institute of Systems Science and Technology, School of Electrical Engineering, Southwest Jiaotong University, China.
Invascal: Inverse-Vacuity Self-Calibration for Uncertainty-Aware LiDAR Range-View Semantic Segmentation
May 20, 2026Kerim Turacan, Hannes Reichert, Andrei Bolandut +1Evidential Deep Learning 3D Semantic Segmentation
Faculty of Engineering and Computer Science, University of Applied Sciences Aschaffenburg, Aschaffenburg, Germany
Hyper-V2X: Hypernetworks for Estimating Epistemic and Aleatoric Uncertainty in Cooperative Bird's-Eye-View Semantic Segmentation
May 20, 2026Abhishek Dinkar Jagtap, Sanath Tiptur Sadashivaiah, Andreas FestagHypernetworks V2X Communication
CARISSMA Institute for Electric, COnnected, and Secure Mobility (C-ECOS), Technische Hochschule Ingolstadt, Ingolstadt, 85049, Germany. · University of Applied Sciences Aschaffenburg, Aschaffenburg, 63743, Germany.
Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation
May 18, 2026Tristan Kirscher, Markus Bujotzek, Yannick Kirchhoff +5Deep Ensembles Medical Image Segmentation
ICube, Institut Strauss, DKFZ · ICube Laboratory, CNRS UMR-7357, University of Strasbourg, Strasbourg, France · CLCC Institut-Strauss, Strasbourg, France +6
U-SEG: Uncertainty in SEGmentation -- A systematic multi-variable exploration
May 14, 2026Michael Smith, Frank P. FerrieImage Segmentation Panoptic Segmentation
Centre for Intelligent Machines, McGill University
Segment Anything with Robust Uncertainty-Accuracy Correlation
May 11, 2026Hongyou Zhou, Marc Toussaint, Ling Shao +1Image Segmentation Promptable Image Segmentation
Learning and Intelligent Systems, Technical University of Berlin, Berlin, Germany. · UCAS-Terminus AI Lab, University of Chinese Academy of Sciences, Beijing, China.
Uncertainty-Guided Dual-Domain Learning for Reliable Skin Lesion Segmentation
May 10, 2026Duwei Dai, Caixia Dong, Guowei Dai +6Medical Image Segmentation Skin Lesion Segmentation
Department of Dermatology, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, Shaanxi, China. · National-Local Joint Engineering Research Center of Biodiagnosis & Biotherapy, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, 710004, Shaanxi, China. · School of Mathematics and Statistics, Xi’an Jiaotong University, Xi’an, 710049, Shaanxi, China. +3
Principle-Guided Supervision for Interpretable Uncertainty in Medical Image Segmentation
May 9, 2026An Sui, Yuzhu Li, Gunter Schumann +2Image Segmentation Uncertainty Quantification
School of Data Science, Fudan University, Shanghai, China · Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai, China · National Heart and Lung Institute, Imperial College London, London, United Kingdom
Harmonized Feature Conditioning and Frequency-Prompt Personalization for Multi-Rater Medical Segmentation
May 6, 2026Sanaz Karimijafarbigloo, Armin Khosravi, Alireza Kheyrkhah +3Medical Image Analysis Frequency-Domain Feature Learning
Faculty of Informatics and Data Science, University of Regensburg, Regensburg, Germany · Sharif University of Technology, Tehran, Iran · Iran University of Science and Technology, Tehran, Iran +3
Uncertainty Estimation in Instance Segmentation of Affordances via Bayesian Visual Transformers
May 5, 2026Lorenzo Mur-Labadia, Ruben Martinez-Cantina, Jose J. GuerreroBayesian Neural Networks Instance Segmentation
aI3A, Universidad de Zaragoza, Zaragoza, 50018, Spain
Multi-Rater Calibrated Segmentation Models
May 4, 2026Meritxell Riera-Marín, Javier García López, Júlia Rodríguez-Comas +2Inter-Rater Reliability Image Segmentation
aSycai Technologies SL, Scientific and Technical Department, Barcelona, Spain · bBCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain · cInstitució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain +1
UnGAP: Uncertainty-Guided Affine Prompting for Real-Time Crack Segmentation
May 4, 2026Conghui Li, Huanyu He, Xin Wang +2Segmentation Uncertainty Estimation Crack Segmentation
School of Information Technology, Monash University, Selangor, Malaysia · Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China · School of Engineering, Monash University, Selangor, Malaysia
RADMI: Latent Information Aggregation as a Proxy for Model Uncertainty
May 2, 2026William Stevens, Mohit Prabhushankar, Ghassan AlRegibUncertainty Quantification Dense Prediction
OLIVES at the Center for Signal and Information Processing, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA
UHR-Net: An Uncertainty-Aware Hypergraph Refinement Network for Medical Image Segmentation
Apr 30, 2026Shuokun Cheng, Jinghao Shi, Kun SunContrastive Learning Image Segmentation
School of Computer Sciences, China University of Geosciences (Wuhan), Wuhan 430074, Hubei, China
Assessing Pancreatic Ductal Adenocarcinoma Vascular Invasion: the PDACVI Benchmark
Apr 30, 2026M. Riera-Marín, O. K. Sikha, J. Rodríguez-Comas +23Inter-Rater Reliability Medical Image Analysis
BCN Medtech, Universitat Pompeu Fabra, Barcelona, Spain · Universitätsklinikum Erlangen, Department of Radiology of the Uniklinikum Erlangen (UKER), Erlangen, Germany · University Hospital Erlangen, Imaging Science Institute, Erlangen, Germany +10
Lorentz Framework for Semantic Segmentation
Apr 18, 2026Zahid Hasan, Masud Ahmed, Nirmalya RoySegmentation Uncertainty Estimation Semantic Segmentation
Department of Information Systems, University of Maryland, Baltimore County
TwinTrack: Post-hoc Multi-Rater Calibration for Medical Image Segmentation
Apr 17, 2026Tristan Kirscher, Alexandra Ertl, Klaus Maier-Hein +3Image Segmentation Post-Hoc Calibration
ICube, Institut Strauss · ICube Laboratory, CNRS UMR-7357, University of Strasbourg, Strasbourg, France · CLCC Institut Strauss, Strasbourg, France +6
UA-Net: Uncertainty-Aware Network for TRISO Image Semantic Segmentation
Apr 16, 2026Kyle Lucke, Zuzanna Krajewska-Travar, Shoukun Sun +3Image Segmentation Materials Science
University of Idaho, 1776 Science Center Drive, Idaho Falls, Idaho 83402, U.S.A · Idaho National Laboratory, 1955 N. Fremont Ave., Idaho Falls, Idaho 83415, U.S.A
SegWithU: Uncertainty as Perturbation Energy for Single-Forward-Pass Risk-Aware Medical Image Segmentation
Apr 16, 2026Tianhao Fu, Austin Wang, Charles Chen +2Image Segmentation Uncertainty Quantification
University of Toronto, Toronto, ON, Canada · Vector Institute, Toronto, ON, Canada · Project Neura, Toronto, ON, Canada +4
Rethinking Uncertainty Quantification and Entanglement in Image Segmentation
Mar 19, 2026Jakob Lønborg Christensen, Vedrana Andersen Dahl, Morten Rieger Hannemose +2Uncertainty Quantification Deep Ensembles
Technical University of Denmark, DTU Compute · University of Lucerne, Faculty of Health Sciences and Medicine, Switzerland
Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation
Mar 4, 2026Chao Wu, Mahesh Bhosale, Kangxian Xie +3Medical Image Segmentation 3D Medical Image Segmentation
Department of Computer Science and Engineering University at Buffalo, SUNY Buffalo, NY, USA
Conformal Prediction Sets for Instance Segmentation
Feb 10, 2026Kerri Lu, Dan M. Kluger, Stephen Bates +1Image Segmentation Instance Segmentation
Laboratory for Information and Decision Systems, MIT, Cambridge, MA, USA · Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA, USA · Institute for Data, Systems, and Society, MIT, Cambridge, MA, USA +1
Uncertainty-Aware Domain Adaptation for Vitiligo Segmentation in Clinical Photographs
Dec 12, 2025Wentao Jiang, Vamsi Varra, Caitlin Perez-Stable +3Image Segmentation Domain Adaptation
Electrical and Computer Engineering, Rice University, Houston, TX, United States · U.S. Dermatology Partners, Houston, TX, United States · School of Medicine, Baylor College of Medicine, Houston, TX, United States
LatentFM: A Latent Flow Matching Approach for Generative Medical Image Segmentation
Dec 4, 2025Ngoc Huynh Trinh, Hoang Anh Nguyen Kim, Hai Toan Nguyen +1Flow Matching Medical Image Segmentation
Institute for Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
Diffusion Model in Latent Space for Medical Image Segmentation Task
Dec 1, 2025Ngoc Huynh Trinh, Hai Toan Nguyen, Son Ba Luong +1Latent Diffusion Models Medical Image Segmentation
Institute for Artificial Intelligence, University of Engineering and Technology, Vietnam National University, Hanoi, Vietnam
Uncertain but Useful: Leveraging CNN Training Variability into Data Augmentation
Sep 5, 2025Inés Gonzalez-Pepe, Vinuyan Sivakolunthu, Yohan Chatelain +1Image Segmentation Data Augmentation
Department of Computer Science Concordia University Montreal, QC H3G 1M8, Canada · Department of Computer Science Concordia University2026 Montreal, QC H3G 1M8, Canada · Krembil Centre for Neuroinformatics Centre for Addiction and Mental Health Toronto, ON M5T 0S8, Canada +1
Voxeland: Probabilistic Instance-Aware Semantic Mapping with Evidence-based Uncertainty Quantification
Nov 13, 2024Jose-Luis Matez-Bandera, Pepe Ojeda, Javier Monroy +2Segmentation Uncertainty Estimation 3D Instance Segmentation
Machine Perception and Intelligent Robotics (MAPIR) Group, Malaga Institute for Mechatronics Engineering and Cyber-Physical Systems (IMECH.UMA), University of Malaga, Campus de Teatinos, 29071 Malaga, Spain

Jun 3, 2026, cs.CVJ/K move · Enter open · S save

Implicit Fuzzification via Bounded Noise Injection for Robust Medical Image Segmentation

Bisheng Tang, Zhangfeng Ma, Chuchu Zhai, Feng Dong+3

School of Information Science and Engineering, Provincial Key Laboratory of Informational Service for Rural Area of Southwestern Hunan, Shaoyang University, Shaoyang 422000, China · Xinshao County People’s Hospital, Shaoyang 422900, China

Ultrasound Image Segmentation Medical Image Segmentation Boundary-Aware Segmentation Segmentation Uncertainty Estimation Semantic Segmentation Implicit Regularization

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Image segmentation remains fundamentally limited by boundary ambiguity arising from sampling-induced information loss and inherent uncertainty in pixel-wise labeling. Although encoder-decoder architectures such as U-Net achieve strong performance, they often produce overconfident predictions that fail to capture transition-region ambiguity. To address this issue, we propose \textbf{NoiseUNet}, a simple yet effective framework that injects bounded perturbations into skip connections to regularize cross-scale feature fusion. This mechanism enforces robustness to local feature variations and promotes boundary-aware representations. Theoretically, the perturbation induces an implicit fuzzification effect, yielding soft, data-driven memberships without requiring explicit fuzzy modeling. We further introduce \textbf{ThyR}, a real-world thyroid ultrasound dataset with inherently ambiguous boundaries. Experiments demonstrate that NoiseUNet consistently improves both segmentation accuracy and boundary fidelity.

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Latest papers 62