SOTAVerified

Lesion Segmentation

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

( Image credit: D-UNet )

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 640 papers

TitleStatusHype
Optimizing Prompt Strategies for SAM: Advancing lesion Segmentation Across Diverse Medical Imaging Modalities—0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation—0
Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions—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
MambaU-Lite: A Lightweight Model based on Mamba and Integrated Channel-Spatial Attention for Skin Lesion SegmentationCode1
TAFM-Net: A Novel Approach to Skin Lesion Segmentation Using Transformer Attention and Focal Modulation—0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Privacy-Preserving Federated Foundation Model for Generalist Ultrasound Artificial Intelligence—0
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
HRDecoder: High-Resolution Decoder Network for Fundus Image Lesion SegmentationCode1
Disentangled PET Lesion Segmentation—0
SAM-Swin: SAM-Driven Dual-Swin Transformers with Adaptive Lesion Enhancement for Laryngo-Pharyngeal Tumor DetectionCode1
Toward Generalizable Multiple Sclerosis Lesion Segmentation Models—0
Label Filling via Mixed Supervision for Medical Image Segmentation from Noisy Annotations—0
Unleashing the Potential of Vision-Language Pre-Training for 3D Zero-Shot Lesion Segmentation via Mask-Attribute Alignment—0
A Multimodal Vision Foundation Model for Clinical DermatologyCode2
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
SegHeD: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints—0
3DPX: Single Panoramic X-ray Analysis Guided by 3D Oral Structure Reconstruction—0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
Grading and Anomaly Detection for Automated Retinal Image Analysis using Deep Learning—0
Lesion Segmentation in Whole-Body Multi-Tracer PET-CT Images; a Contribution to AutoPET 2024 Challenge—0
Data Diet: Can Trimming PET/CT Datasets Enhance Lesion Segmentation?Code0
Longitudinal Segmentation of MS Lesions via Temporal Difference WeightingCode2
AutoPET III Challenge: PET/CT Semantic Segmentation—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
SkinMamba: A Precision Skin Lesion Segmentation Architecture with Cross-Scale Global State Modeling and Frequency Boundary GuidanceCode2
AutoPET Challenge III: Testing the Robustness of Generalized Dice Focal Loss trained 3D Residual UNet for FDG and PSMA Lesion Segmentation from Whole-Body PET/CT ImagesCode0
Data-Centric Strategies for Overcoming PET/CT Heterogeneity: Insights from the AutoPET III Lesion Segmentation ChallengeCode0
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing TechniquesCode0
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer settingCode0
From FDG to PSMA: A Hitchhiker's Guide to Multitracer, Multicenter Lesion Segmentation in PET/CT ImagingCode1
SkinFormer: Learning Statistical Texture Representation with Transformer for Skin Lesion SegmentationCode0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III ChallengeCode0
AD-Net: Attention-based dilated convolutional residual network with guided decoder for robust skin lesion segmentation—0
MobileUNETR: A Lightweight End-To-End Hybrid Vision Transformer For Efficient Medical Image SegmentationCode2
LSSF-Net: Lightweight Segmentation with Self-Awareness, Spatial Attention, and Focal Modulation—0
Language-guided Scale-aware MedSegmentor for Lesion Segmentation in Medical Imaging—0
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Interactive decision support system for lung cancer segmentation—0
Show:102550
← PrevPage 2 of 13Next →

No leaderboard results yet.