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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 101–150 of 640 papers

TitleStatusHype
Exploiting XAI maps to improve MS lesion segmentation and detection in MRI—0
ISLES 2024: The first longitudinal multimodal multi-center real-world dataset in (sub-)acute stroke—0
TESL-Net: A Transformer-Enhanced CNN for Accurate Skin Lesion Segmentation—0
Lesion-aware network for diabetic retinopathy diagnosisCode0
Segmenting Small Stroke Lesions with Novel Labeling StrategiesCode0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin ImagesCode0
GLAM: Glomeruli Segmentation for Human Pathological Lesions using Adapted Mouse Model—0
Navigating Uncertainty in Medical Image Segmentation—0
Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model—0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Potential of Multimodal Large Language Models for Data Mining of Medical Images and Free-text Reports—0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification—0
TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM—0
Skip and Skip: Segmenting Medical Images with Prompts—0
Self-supervised Brain Lesion Generation for Effective Data Augmentation of Medical Images—0
Towards AI Lesion Tracking in PET/CT Imaging: A Siamese-based CNN Pipeline applied on PSMA PET/CT Scans—0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers—0
The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed TomographyCode1
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
A Foundation Model for Brain Lesion Segmentation with Mixture of Modality ExpertsCode1
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical ImagesCode0
AC-MAMBASEG: An adaptive convolution and Mamba-based architecture for enhanced skin lesion segmentationCode1
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Dose-aware Diffusion Model for 3D PET Image Denoising: Multi-institutional Validation with Reader Study and Real Low-dose Data—0
Optimizing Universal Lesion Segmentation: State Space Model-Guided Hierarchical Networks with Feature Importance Adjustment—0
Ultrasound SAM Adapter: Adapting SAM for Breast Lesion Segmentation in Ultrasound ImagesCode1
Multi-target and multi-stage liver lesion segmentation and detection in multi-phase computed tomography scans—0
Synthetic Data for Robust Stroke SegmentationCode1
UltraLight VM-UNet: Parallel Vision Mamba Significantly Reduces Parameters for Skin Lesion SegmentationCode3
A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES ChallengeCode1
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion—0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
H-vmunet: High-order Vision Mamba UNet for Medical Image SegmentationCode2
P-Count: Persistence-based Counting of White Matter Hyperintensities in Brain MRI—0
A Spatial-Temporal Progressive Fusion Network for Breast Lesion Segmentation in Ultrasound Videos—0
Input Data Adaptive Learning (IDAL) for Sub-acute Ischemic Stroke Lesion Segmentation—0
Mask-Enhanced Segment Anything Model for Tumor Lesion Semantic SegmentationCode1
ProMISe: Promptable Medical Image Segmentation using SAMCode1
Multi-organ Self-supervised Contrastive Learning for Breast Lesion Segmentation—0
wmh_seg: Transformer based U-Net for Robust and Automatic White Matter Hyperintensity Segmentation across 1.5T, 3T and 7TCode1
Is Two-shot All You Need? A Label-efficient Approach for Video Segmentation in Breast Ultrasound—0
3D Lymphoma Segmentation on PET/CT Images via Multi-Scale Information Fusion with Cross-Attention—0
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Vivim: a Video Vision Mamba for Medical Video SegmentationCode2
Slicer Networks—0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
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