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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 201–250 of 640 papers

TitleStatusHype
Deep Quantile Regression for Uncertainty Estimation in Unsupervised and Supervised Lesion DetectionCode0
Dense Pooling layers in Fully Convolutional Network for Skin Lesion SegmentationCode0
Automated Lesion Segmentation in Whole-Body PET/CT in a multitracer settingCode0
Less is More: Sample Selection and Label Conditioning Improve Skin Lesion SegmentationCode0
Lesion-aware network for diabetic retinopathy diagnosisCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
Segmenting Small Stroke Lesions with Novel Labeling StrategiesCode0
Automated Breast Lesion Segmentation in Ultrasound ImagesCode0
Learn to Segment Retinal Lesions and BeyondCode0
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI imagesCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
Incorporating the Knowledge of Dermatologists to Convolutional Neural Networks for the Diagnosis of Skin LesionsCode0
Innovative Quantitative Analysis for Disease Progression Assessment in Familial Cerebral Cavernous MalformationsCode0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
Segmentation-Consistent Probabilistic Lesion CountingCode0
Domain-Agnostic Stroke Lesion Segmentation Using Physics-Constrained Synthetic DataCode0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional NetworksCode0
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion SegmentationCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
A Contrast-Adaptive Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
A mirror-Unet architecture for PET/CT lesion segmentationCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image SegmentationCode0
DSNet: Automatic Dermoscopic Skin Lesion SegmentationCode0
DTP-Net: A convolutional neural network model to predict threshold for localizing the lesions on dermatological macro-imagesCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CTCode0
Dual channel CW nnU-Net for 3D PET-CT Lesion Segmentation in 2024 autoPET III ChallengeCode0
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound ImagesCode0
A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple SclerosisCode0
Image Segmentation: Inducing graph-based learningCode0
A Localization-to-Segmentation Framework for Automatic Tumor Segmentation in Whole-Body PET/CT ImagesCode0
How We Won the ISLES'24 Challenge by PreprocessingCode0
Liver Lesion Segmentation with slice-wise 2D Tiramisu and Tversky loss functionCode0
Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion SegmentationCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Enhancing Lesion Segmentation in PET/CT Imaging with Deep Learning and Advanced Data Preprocessing TechniquesCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
A Survey on Deep Learning for Skin Lesion SegmentationCode0
Generative Adversarial Networks based Skin Lesion SegmentationCode0
A Kernelized Manifold Mapping to Diminish the Effect of Adversarial PerturbationsCode0
Generalized Dice Focal Loss trained 3D Residual UNet for Automated Lesion Segmentation in Whole-Body FDG PET/CT ImagesCode0
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