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Lesion Segmentation

Lesion segmentation is the task of segmenting out lesions from other objects in medical based images.

( Image credit: D-UNet )

Papers

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Showing 151–200 of 640 papers

TitleStatusHype
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation—0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object Segmentation with Zero-Shot MethodCode0
Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual LearningCode0
Learning to segment anatomy and lesions from disparately labeled sources in brain MRI—0
Self-Attention Diffusion Models for Zero-Shot Biomedical Image Segmentation: Unlocking New Frontiers in Medical Imaging—0
An Attentive Representative Sample Selection Strategy Combined with Balanced Batch Training for Skin Lesion Segmentation—0
Sustainable Deep Learning-Based Breast Lesion Segmentation: Impact of Breast Region Segmentation on Performance—0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
State-of-the-Art Stroke Lesion Segmentation at 1/1000th of Parameters—0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
Interactive Segmentation and Report Generation for CT Images—0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Clinical Inspired MRI Lesion Segmentation—0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different AlgorithmsCode0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
Multimodal HIE Lesion Segmentation in Neonates: A Comparative Study of Loss Functions—0
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation—0
Generalizable automated ischaemic stroke lesion segmentation with vision transformers—0
Quasi-Conformal Convolution : A Learnable Convolution for Deep Learning on Riemann Surfaces—0
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures—0
Stroke Lesion Segmentation using Multi-Stage Cross-Scale AttentionCode0
Unified 3D MRI Representations via Sequence-Invariant Contrastive LearningCode0
Cancer-Net PCa-Seg: Benchmarking Deep Learning Models for Prostate Cancer Segmentation Using Synthetic Correlated Diffusion Imaging—0
Automated external cervical resorption segmentation in cone-beam CT using local texture features—0
Image Segmentation: Inducing graph-based learningCode0
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation—0
Unified Medical Lesion Segmentation via Self-referring Indicator—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—0
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
HES-UNet: A U-Net for Hepatic Echinococcosis Lesion Segmentation—0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence—0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM ApproachCode0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
Automated Segmentation of Ischemic Stroke Lesions in Non-Contrast Computed Tomography Images for Enhanced Treatment and Prognosis—0
Disentangled PET Lesion Segmentation—0
Toward Generalizable Multiple Sclerosis Lesion Segmentation Models—0
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
ICPR 2024 Competition on Multiple Sclerosis Lesion Segmentation -- Methods and Results—0
Bi-Directional MS Lesion Filling and Synthesis Using Denoising Diffusion Implicit Model-based Lesion Repainting—0
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