Medical Image Segmentation

Overview

Medical image segmentation assigns labels to pixels or voxels to outline structures such as tumors, organs, vessels, and surgical instruments, enabling quantitative analysis and clinical workflows. Common approaches include U-Net-style convolutional networks, transformers and state-space models, and promptable foundation models; work also uses anatomical and topological priors, text guidance, and generative models. To reduce reliance on dense expert labels, researchers study self-supervised pretraining, semi- and weakly supervised learning, synthetic data, and interactive annotation, while domain adaptation addresses differences across scanners, hospitals, and modalities. A central challenge is making models reliable beyond their training data: high overlap scores can conceal boundary, connectivity, small-lesion, or subgroup failures, so external validation, uncertainty estimates, and clinically relevant metrics remain important.

Latest papers

CardsList

788 papers62 papers in the last four weeks, down 29% on the four weeks before. 0.4% of all new papers.

  1. CLoE: Expert Consistency Learning for Robust Missing Modality Segmentation

    Mar 10, 2026Xinyu Tong, Meihua Zhou, Bowu Fan +1Missing-Modality Medical Image SegmentationMedical Image Segmentation

  2. TubeMLLM: A Foundation Model for Topology Knowledge Exploration in Vessel-like Anatomy

    Mar 10, 2026Yaoyu Liu, Minghui Zhang, Xin You +2Medical VLMsTopology-Preserving Image Segmentation

  3. Transformer-Based Multi-Region Segmentation and Radiomic Analysis of HR-pQCT Imaging for Osteoporosis Classification

    Mar 10, 2026Mohseu Rashid Subah, Mohammed Abdul Gani Zilani, Thomas L. Nickolas +3RadiomicsMedical Image Segmentation

  4. Weakly Supervised Teacher-Student Framework with Progressive Pseudo-mask Refinement for Gland Segmentation

    Mar 9, 2026Hikmat Khan, Wei Chen, Muhammad Khalid Khan NiaziHistopathology Image SegmentationMedical Image Segmentation

  5. Structure and Progress Aware Diffusion for Medical Image Segmentation

    Mar 9, 2026Siyuan Song, Guyue Hu, Chenglong Li +3Diffusion Models for Medical Image SegmentationMedical Image Segmentation

  6. RPG-SAM: Reliability-Weighted Prototypes and Geometric Adaptive Threshold Selection for Training-Free One-Shot Polyp Segmentation

    Mar 8, 2026Weikun Lin, Yunhao Bai, Yan WangImage SegmentationPolyp Segmentation

  7. LightMedSeg: Lightweight 3D Medical Image Segmentation with Learned Spatial Anchors

    Mar 7, 2026Kavyansh Tyagi, Vishwas Rathi, Puneet GoyalMedical Image Segmentation3D Medical Image Segmentation

  8. DDS-UDA: Dual-Domain Synergy for Unsupervised Domain Adaptation in Joint Segmentation of Optic Disc and Optic Cup

    Mar 7, 2026Yusong Xiao, Yuxuan Wu, Li Xiao +3Medical Image SegmentationUnsupervised Domain Adaptation

  9. CLoPA: Continual Low Parameter Adaptation of Interactive Segmentation for Medical Image Annotation

    Mar 6, 2026Parhom Esmaeili, Chayanin Tangwiriyasakul, Eli Gibson +2Medical Image SegmentationInteractive Medical Image Segmentation

  10. Prompt Group-Aware Training for Robust Text-Guided Nuclei Segmentation

    Mar 6, 2026Yonghuang Wu, Zhenyang Liang, Wenwen Zeng +2Text-Guided Image SegmentationMedical Image Segmentation

  11. CORE-Seg: Reasoning-Driven Segmentation for Complex Lesions via Reinforcement Learning

    Mar 6, 2026Yuxin Xie, Yuming Chen, Yishan Yang +5Medical Image SegmentationReasoning Segmentation

  12. Shifting Adaptation from Weight Space to Memory Space: A Memory-Augmented Agent for Medical Image Segmentation

    Mar 6, 2026Bowen Chen, Qiaohui Gao, Shaowen Wan +6Medical Image SegmentationFew-Shot Medical Image Segmentation

  13. Exploiting Intermediate Reconstructions in Optical Coherence Tomography for Test-Time Adaption of Medical Image Segmentation

    Mar 5, 2026Thomas Pinetz, Veit Hucke, Hrvoje BogunovicMedical Image SegmentationTest-Time Adaptation

  14. Tell2Adapt: A Unified Framework for Source Free Unsupervised Domain Adaptation via Vision Foundation Model

    Mar 5, 2026Yulong Shi, Shijie Li, Ziyi Li +1Source-Free Domain AdaptationMedical Image Segmentation

  15. LAW & ORDER: Adaptive Spatial Weighting for Medical Diffusion and Segmentation

    Mar 5, 2026Anugunj Naman, Ayushman Singh, Gaibo Zhang +1Image SegmentationHealthcare

  16. Self-Supervised Multi-Stage Domain Unlearning for White-Matter Lesion Segmentation

    Mar 4, 2026Domen Preložnik, Žiga ŠpiclinUnsupervised Domain AdaptationMedical Image Segmentation

  17. Volumetric Directional Diffusion: Anchoring Uncertainty Quantification in Anatomical Consensus for Ambiguous Medical Image Segmentation

    Mar 4, 2026Chao Wu, Mahesh Bhosale, Kangxian Xie +3Diffusion Models for Medical Image SegmentationMedical Image Segmentation

  18. ProFound: A moderate-sized vision foundation model for multi-task prostate imaging

    Mar 4, 2026Yipei Wang, Yinsong Xu, Weixi Yi +11Medical Imaging Foundation ModelsMedical Image Representation Learning

  19. ProSMA-UNet: Decoder Conditioning for Proximal-Sparse Skip Feature Selection

    Mar 3, 2026Chun-Wun Cheng, Yanqi Cheng, Peiyuan Jing +4U-NetMedical Image Segmentation

  20. Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation

    Mar 3, 2026Hongbo Zheng, Afshin Bozorgpour, Dorit Merhof +1Medical Image SegmentationLinear Attention

  21. A Detection-Gated Pipeline for Robust Glottal Area Waveform Extraction and Clinical Pathology Assessment

    Mar 2, 2026Harikrishnan Unnikrishnan, Rita PatelMedical Image SegmentationEndoscopy

  22. LUMOS: Latent Universal Medical Priors for Segmentation

    Mar 1, 2026Zhuonan Liang, Wei Guo, Jie Gan +4Medical Image SegmentationTransfer Learning

  23. GroundedSurg: A Multi-Procedure Benchmark for Language-Conditioned Surgical Tool Segmentation

    Mar 1, 2026Tajamul Ashraf, Abrar Ul Riyaz, Wasif Tak +4Medical Image GroundingReferring Image Segmentation

  24. Fake It Right: Injecting Anatomical Logic into Synthetic Supervised Pre-training for Medical Segmentation

    Mar 1, 2026Jiaqi Tang, Mengyan Zheng, Shu Zhang +2Medical Image SegmentationSynthetic Data Pretraining

  25. Efficient Conformal Volumetry for Template-Based Segmentation

    Feb 28, 2026Matt Y. Cheung, Ashok Veeraraghavan, Guha BalakrishnanSegmentation Uncertainty EstimationMedical Image Analysis

  26. Explainable Continuous-Time Mask Refinement with Local Self-Similarity Priors for Medical Image Segmentation

    Feb 28, 2026Rajdeep Chatterjee, Sudip Chakrabarty, Trishaani AcharjeeMedical Image SegmentationBoundary-Aware Segmentation

  27. Extending 2D foundational DINOv3 representations to 3D segmentation of neonatal brain MR images

    Feb 27, 2026Annayah Usman, Behraj Khan, Tahir Qasim SyedMedical Image Segmentation3D Medical Image Segmentation