Ultrasound Image Segmentation

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Overview

Ultrasound image segmentation identifies anatomical structures and lesions in noisy images, supporting measurements, diagnosis, and procedures. Common approaches include U-Net-style convolutional models, attention and transformer or state-space networks, and ultrasound-adapted foundation models; semi-supervised learning and pseudo-labeling aim to reduce the need for pixel-level annotations. Work also uses video consistency, anatomical or boundary constraints, and domain adaptation to improve results across frames, devices, and clinical sites. A central challenge is making masks reliable under domain shift and uncertainty, since high overlap scores can conceal boundary errors that affect clinical measurements.

Latest papers

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73 papers6 papers in the last four weeks, down 33% on the four weeks before. 0.0% of all new papers.

  1. Contour-Guided Query-Based Feature Fusion for Boundary-Aware and Generalizable Cardiac Ultrasound Segmentation

    Mar 30, 2026Zahid Ullah, Sieun Choi, Jihie KimUltrasound Image SegmentationBoundary-Aware Segmentation

    Department of Computer Science and Artificial Intelligence, Dongguk University, Seoul 04620, Republic of Korea

  2. OSA: Echocardiography Video Segmentation via Orthogonalized State Update and Anatomical Prior-aware Feature Enhancement

    Mar 27, 2026Rui Wang, Huisi Wu, Jing QinUltrasound Image SegmentationEchocardiography

    College of Computer Science and Software Engineering, Shenzhen University · Centre for Smart Health, School of Nursing, The Hong Kong Polytechnic University

  3. Domain-Guided YOLO26 with Composite BCE-Dice-Lovász Loss for Multi-Class Fetal Head Ultrasound Segmentation

    Mar 23, 2026M. Fazri NizarUltrasound Image SegmentationMedical Image Segmentation

    Informatics Engineering, Faculty of Computer Science Sriwijaya University

  4. Anatomical Prior-Driven Framework for Autonomous Robotic Cardiac Ultrasound Standard View Acquisition

    Mar 22, 2026Zhiyan Cao, Zhengxi Wu, Yiwei Wang +5Robotic UltrasoundEchocardiography

    The authors are with the State Key Laboratory of Intelligent Manufacturing Equipment and Technology, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China. · Zhengxi Wu is with the School of Biomedical Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen, Guangdong 518055, China. · Yiwei Wang is also with the Institute of Medical Equipment Science and Engineering, Huazhong University of Science and Technology, Luoyu Road 1037, Wuhan, Hubei 430074, China. +3

  5. Representation-Level Adversarial Regularization for Clinically Aligned Multitask Thyroid Ultrasound Assessment

    Mar 22, 2026Dina Salama, Mohamed Mahmoud, Nourhan Bayasi +2Multi-Task LearningClinical Risk Prediction

    University of British Columbia, Vancouver, Canada · University of Calgary, Calgary, Canada

  6. Multiscale Switch for Semi-Supervised and Contrastive Learning in Medical Ultrasound Image Segmentation

    Mar 19, 2026Jingguo Qu, Xinyang Han, Yao Pu +8Semi-Supervised Medical Image SegmentationUltrasound Image Segmentation

    Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China · Centre for Smart Health and School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China · Department of Imaging and Interventional Radiology, The Chinese University of Hong Kong, Hong Kong, China

  7. DINOv3 with Test-Time Calibration for Automated Carotid Intima-Media Thickness Measurement on CUBS v1

    Mar 11, 2026Zhenpeng Zhang, Jinwei Lu, Yurui Dong +1Medical ImagingUltrasound Image Segmentation

    School of Basic Medical Sciences, Fudan University, Shanghai 200032, China · Fudan University, Shanghai, China · Institute of Medical Genetics and Genomics, Fudan University, Shanghai 200032, China

  8. FetalAgents: A Multi-Agent System for Fetal Ultrasound Image and Video Analysis

    Mar 10, 2026Xiaotian Hu, Junwei Huang, Mingxuan Liu +9Ultrasound ImagingMedical Report Generation

    Tsinghua University, Beijing, China · University of California San Diego, La Jolla, CA, USA · West China Second University Hospital, Sichuan University, Chengdu, China

  9. Multi-Kernel Gated Decoder Adapters for Robust Multi-Task Thyroid Ultrasound under Cross-Center Shift

    Mar 9, 2026Maziar Sabouri, Nourhan Bayasi, Arman RahmimThyroid Nodule DetectionUltrasound Image Segmentation

    Department of Astronomy and Physics, University of British Columbia, Vancouver, Canada · Department of Basic and Translational Research, BC Cancer Research Institute, Vancouver, Canada · Department of Radiology, University of British Columbia, Vancouver, Canada +1

  10. A Semi-Supervised Framework for Breast Ultrasound Segmentation with Training-Free Pseudo-Label Generation and Label Refinement

    Mar 6, 2026Ruili Li, Jiayi Ding, Ruiyu Li +7Ultrasound Image SegmentationSemi-Supervised Medical Image Segmentation

    Tohoku University Graduate School of Medicine, Sendai 980-8575, Japan · State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou 510060, China · Southeast University, School of Cyber Science and Engineering Nanjing, Jiangsu, China +4

  11. Adaptive Bidirectional Task Interaction for Joint Segmentation and Classification of Breast Ultrasound

    Mar 1, 2026Abdullah Al Shafi, Md Kawsar Mahmud Khan Zunayed, Safin Ahmmed +2Ultrasound Image SegmentationImage Segmentation

    Khulna University of Engineering and Technology, Bangladesh · University Clermont Auvergne, France

  12. Automated Measurement of Geniohyoid Muscle Thickness During Speech Using Deep Learning and Ultrasound

    Feb 26, 2026Alisher Myrgyyassov, Bruce Xiao Wang, Yu Sun +4Speech ProductionUltrasound Image Segmentation

    Biomedical Engineering Department, Hong Kong Polytechnic University, Hong Kong, China · English and Communication Department, Hong Kong Polytechnic University, Hong Kong, China · Research Institute for Smart Ageing, Hong Kong Polytechnic University, Hong Kong, China +1

  13. Adversarial Robustness of Deep Learning-Based Thyroid Nodule Segmentation in Ultrasound

    Feb 25, 2026Nicholas Dietrich, David McShannonAdversarial RobustnessBlack-Box Adversarial Attacks

    Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada · Faculty of Engineering, McMaster University, Hamilton, Ontario, Canada