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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

Showing 551600 of 640 papers

TitleStatusHype
Lesion-aware network for diabetic retinopathy diagnosisCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Handling Inter-Annotator Agreement for Automated Skin Lesion SegmentationCode0
XAI-ResUNet: Analysing the Impact of Pre-training in ResUNet Architectures for Multiple Sclerosis Lesion Segmentation using EigenGradCAMCode0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Segmentation-Consistent Probabilistic Lesion CountingCode0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
Unsupervised domain adaptation in brain lesion segmentation with adversarial networksCode0
S-SYNTH: Knowledge-Based, Synthetic Generation of Skin ImagesCode0
GS-TransUNet: Integrated 2D Gaussian Splatting and Transformer UNet for Accurate Skin Lesion AnalysisCode0
Glo-In-One-v2: Holistic Identification of Glomerular Cells, Tissues, and Lesions in Human and Mouse HistopathologyCode0
Segmentation of Multiple Sclerosis Lesions across Hospitals: Learn Continually or Train from Scratch?Code0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
When Mamba Meets xLSTM: An Efficient and Precise Method with the xLSTM-VMUNet Model for Skin lesion SegmentationCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
FocusNet: An attention-based Fully Convolutional Network for Medical Image SegmentationCode0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic videoCode0
Tversky loss function for image segmentation using 3D fully convolutional deep networksCode0
Enhancing the Extraction of Interpretable Information for Ischemic Stroke Imaging from Deep Neural NetworksCode0
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing TechniquesCode0
Enhancing Diagnostic Precision in Gastric Bleeding through Automated Lesion Segmentation: A Deep DuS-KFCM ApproachCode0
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound imagesCode0
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
Automatic Skin Lesion Segmentation Using GrabCut in HSV Colour SpaceCode0
APAUNet: Axis Projection Attention UNet for Small Target in 3D Medical SegmentationCode0
D-UNet: a dimension-fusion U shape network for chronic stroke lesion segmentationCode0
Minding Fuzzy Regions: A Data-driven Alternating Learning Paradigm for Stable Lesion SegmentationCode0
Stroke Lesion Segmentation using Multi-Stage Cross-Scale AttentionCode0
Self-Supervised Few-Shot Learning for Ischemic Stroke Lesion SegmentationCode0
Stroke Lesion Segmentation with Visual Cortex Anatomy Alike Neural NetsCode0
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III ChallengeCode0
Modality-Independent Brain Lesion Segmentation with Privacy-aware Continual LearningCode0
D-TrAttUnet: Toward Hybrid CNN-Transformer Architecture for Generic and Subtle Segmentation in Medical ImagesCode0
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion SegmentationCode0
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
A Mutual Bootstrapping Model for Automated Skin Lesion Segmentation and ClassificationCode0
Structure-Aware Stylized Image Synthesis for Robust Medical Image SegmentationCode0
Semi-Supervised Brain Lesion Segmentation with an Adapted Mean Teacher ModelCode0
Semi-Supervised Deep Learning for Fully Convolutional NetworksCode0
Development of RLK-Unet: a clinically favorable deep learning algorithm for brain metastasis detection and treatment response assessmentCode0
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