"medical image segmentation" Papers
40 papers found
Conference
AIF-SFDA: Autonomous Information Filter Driven Source-Free Domain Adaptation for Medical Image Segmentation
Haojin Li, Heng Li, Jianyu Chen et al.
Alleviating Textual Reliance in Medical Language-guided Segmentation via Prototype-driven Semantic Approximation
Shuchang Ye, Usman Naseem, Mingyuan Meng et al.
ConDSeg: A General Medical Image Segmentation Framework via Contrast-Driven Feature Enhancement
Mengqi Lei, Haochen Wu, Xinhua Lv et al.
DyCON: Dynamic Uncertainty-aware Consistency and Contrastive Learning for Semi-supervised Medical Image Segmentation
Maregu Assefa, Muzammal Naseer, IYYAKUTTI IYAPPAN GANAPATHI et al.
EchoONE: Segmenting Multiple Echocardiography Planes in One Model
Jiongtong Hu, Wei Zhuo, Jun Cheng et al.
Enhancing SAM with Efficient Prompting and Preference Optimization for Semi-supervised Medical Image Segmentation
Aishik Konwer, Zhijian Yang, Erhan Bas et al.
FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation
Yuntian Bo, Yazhou Zhu, Lunbo Li et al.
GauSAM: Contour‑Guided 2D Gaussian Fields for Multi‑Scale Medical Image Segmentation with Segment Anything
Jinxuan Wu, Jiange Wang, Dongdong Zhang
Generative Medical Segmentation
Jiayu Huo, Xi Ouyang, Sébastien Ourselin et al.
HarmonySeg: Tubular Structure Segmentation with Deep-Shallow Feature Fusion and Growth-Suppression Balanced Loss
Ke Zhang, Yi Huang, Wei Liu et al.
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline
Junlong Cheng, Bin Fu, Jin Ye et al.
MIMO: A Medical Vision Language Model with Visual Referring Multimodal Input and Pixel Grounding Multimodal Output
Yanyuan Chen, Dexuan Xu, Yu Huang et al.
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion Segmentation
Lexin Fang, Yunyang Xu, Xiang Ma et al.
Progressive Test Time Energy Adaptation for Medical Image Segmentation
Xiaoran Zhang, Byung-Woo Hong, Hyoungseob Park et al.
Show and Segment: Universal Medical Image Segmentation via In-Context Learning
Yunhe Gao, Di Liu, Zhuowei Li et al.
Similarity Memory Prior is All You Need for Medical Image Segmentation
Hao Tang, Zhiqing Guo, Liejun Wang et al.
SPA: Efficient User-Preference Alignment against Uncertainty in Medical Image Segmentation
Jiayuan Zhu, Junde Wu, Cheng Ouyang et al.
Steady Progress Beats Stagnation: Mutual Aid of Foundation and Conventional Models in Mixed Domain Semi-Supervised Medical Image Segmentation
Qinghe Ma, Jian Zhang, Zekun Li et al.
Test-Time Domain Generalization via Universe Learning: A Multi-Graph Matching Approach for Medical Image Segmentation
Xingguo Lv, Xingbo Dong, Liwen Wang et al.
Towards a Comprehensive, Efficient and Promptable Anatomic Structure Segmentation Model Using 3D Whole-Body CT Scans
Heng Guo, Jianfeng Zhang, Jiaxing Huang et al.
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment
Yankai Jiang, Wenhui Lei, Xiaofan Zhang et al.
Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation
Zhen Zhao, Zicheng Wang, Dian Yu et al.
AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
Yuheng Li, Tianyu Luan, Yizhou Wu et al.
CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation
Shreyank Narayana Gowda, David A Clifton
Clustering Propagation for Universal Medical Image Segmentation
Yuhang Ding, Liulei Li, Wenguan Wang et al.
Diversified and Personalized Multi-rater Medical Image Segmentation
Yicheng Wu, Xiangde Luo, Zhe Xu et al.
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification
Yu Tian, Congcong Wen, Min Shi et al.
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
I-MedSAM: Implicit Medical Image Segmentation with Segment Anything
Xiaobao Wei, Jiajun Cao, Yizhu Jin et al.
MedSegDiff-V2: Diffusion-based Medical Image Segmentation with Transformer
Junde Wu, Wei Ji, Huazhu Fu et al.
MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis
Luyuan Xie, Manqing Lin, Tianyu Luan et al.
One-Prompt to Segment All Medical Images
Wu, Min Xu
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation
Ning Gao, Sanping Zhou, Le Wang et al.
Polyper: Boundary Sensitive Polyp Segmentation
Hao Shao, Yang Zhang, Qibin Hou
SurgicalSAM: Efficient Class Promptable Surgical Instrument Segmentation
Wenxi Yue, Jing Zhang, Kun Hu et al.
The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation
Muyang Qiu, Jian Zhang, Lei Qi et al.
Topology-Preserving Downsampling of Binary Images
Chia-Chia Chen, Chi-Han Peng
Training Like a Medical Resident: Context-Prior Learning Toward Universal Medical Image Segmentation
Yunhe Gao
Tyche: Stochastic In-Context Learning for Medical Image Segmentation
Marianne Rakic, Hallee Wong, Jose Javier Gonzalez Ortiz et al.
Versatile Medical Image Segmentation Learned from Multi-Source Datasets via Model Self-Disambiguation
Xiaoyang Chen, Hao Zheng, Yuemeng LI et al.