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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 251–300 of 640 papers

TitleStatusHype
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
Fundus2Video: Cross-Modal Angiography Video Generation from Static Fundus Photography with Clinical Knowledge GuidanceCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Learn to Segment Retinal Lesions and BeyondCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
EyeBench: A Call for More Rigorous Evaluation of Retinal Image EnhancementCode0
Exploring Uncertainty Measures in Deep Networks for Multiple Sclerosis Lesion Detection and SegmentationCode0
Image Segmentation: Inducing graph-based learningCode0
FocusNet: An attention-based Fully Convolutional Network for Medical Image SegmentationCode0
A generic ensemble based deep convolutional neural network for semi-supervised medical image segmentationCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Orthogonal Ensemble Networks for Biomedical Image SegmentationCode0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Explaining Uncertainty in Multiple Sclerosis Lesion Segmentation Beyond Prediction Errors—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
Domain Adaptive Medical Image Segmentation via Adversarial Learning of Disease-Specific Spatial Patterns—0
Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity—0
A Region of Interest Focused Triple UNet Architecture for Skin Lesion Segmentation—0
Ensembling Low Precision Models for Binary Biomedical Image Segmentation—0
Ensemble of Multi-sized FCNs to Improve White Matter Lesion Segmentation—0
AutoPETIII: The Tracer Frontier. What Frontier?—0
A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoPET III Challenge: PET/CT Semantic Segmentation—0
Election of Collaborators via Reinforcement Learning for Federated Brain Tumor Segmentation—0
Efficient Folded Attention for 3D Medical Image Reconstruction and Segmentation—0
AutoPET Challenge: Tumour Synthesis for Data Augmentation—0
Application of the nnU-Net for automatic segmentation of lung lesion on CT images, and implication on radiomic models—0
Accurate and Robust Lesion RECIST Diameter Prediction and Segmentation with Transformers—0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis—0
DynSegNet:Dynamic Architecture Adjustment for Adversarial Learning in Segmenting Hemorrhagic Lesions from Fundus Images—0
A Point-Neighborhood Learning Framework for Nasal Endoscope Image Segmentation—0
Dual-Attention Enhanced BDense-UNet for Liver Lesion Segmentation—0
APIS: A paired CT-MRI dataset for ischemic stroke segmentation challenge—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
DSNet: a simple yet efficient network with dual-stream attention for lesion segmentation—0
Automating Vitiligo Skin Lesion Segmentation Using Convolutional Neural Networks—0
DRG-Net: Interactive Joint Learning of Multi-lesion Segmentation and Classification for Diabetic Retinopathy Grading—0
DR-GAN: Conditional Generative Adversarial Network for Fine-Grained Lesion Synthesis on Diabetic Retinopathy Images—0
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