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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 501550 of 640 papers

TitleStatusHype
Composite Deep Network with Feature Weighting for Improved Delineation of COVID Infection in Lung CT0
MKIS-Net: A Light-Weight Multi-Kernel Network for Medical Image Segmentation0
SLSNet: Skin lesion segmentation using a lightweight generative adversarial network0
MS Lesion Segmentation: Revisiting Weighting Mechanisms for Federated Learning0
Exploiting Precision Mapping and Component-Specific Feature Enhancement for Breast Cancer Segmentation and Identification0
Improving automated multiple sclerosis lesion segmentation with a cascaded 3D convolutional neural network approachCode0
Cut-Paste Consistency Learning for Semi-Supervised Lesion SegmentationCode0
An Attention Based Pipeline for Identifying Pre-Cancer Lesions in Head and Neck Clinical ImagesCode0
Skin Lesion Segmentation using SegNet with Binary Cross-EntropyCode0
Improved automated lesion segmentation in whole-body FDG/PET-CT via Test-Time AugmentationCode0
A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI imagesCode0
INCEPTNET: Precise And Early Disease Detection Application For Medical Images AnalysesCode0
Impact of Adversarial Examples on Deep Learning Models for Biomedical Image 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
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
Instance-level quantitative saliency in multiple sclerosis lesion segmentationCode0
CLCI-Net: Cross-Level fusion and Context Inference Networks for Lesion Segmentation of Chronic StrokeCode0
Punctate White Matter Lesion Segmentation in Preterm Infants Powered by Counterfactually Generative LearningCode0
Calibrate the inter-observer segmentation uncertainty via diagnosis-first principleCode0
Automated Detection of Myopic Maculopathy in MMAC 2023: Achievements in Classification, Segmentation, and Spherical Equivalent PredictionCode0
Whole-Body Lesion Segmentation in 18F-FDG PET/CTCode0
Interpretability of Uncertainty: Exploring Cortical Lesion Segmentation in Multiple SclerosisCode0
BeSt-LeS: Benchmarking Stroke Lesion Segmentation using Deep SupervisionCode0
Universal Lesion Segmentation Challenge 2023: A Comparative Research of Different AlgorithmsCode0
RECOD Titans at ISIC Challenge 2017Code0
Recurrent Residual Convolutional Neural Network based on U-Net (R2U-Net) for Medical Image SegmentationCode0
Refined-Segmentation R-CNN: A Two-stage Convolutional Neural Network for Punctate White Matter Lesion Segmentation in Preterm InfantsCode0
Segmenting Small Stroke Lesions with Novel Labeling StrategiesCode0
Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CTCode0
Image Translation for Medical Image Generation -- Ischemic Stroke LesionsCode0
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
Autopet Challenge 2023: nnUNet-based whole-body 3D PET-CT Tumour SegmentationCode0
AutoPET Challenge 2022: Step-by-Step Lesion Segmentation in Whole-body FDG-PET/CTCode0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
S^3-Mamba: Small-Size-Sensitive Mamba for Lesion SegmentationCode0
ZS-VCOS: Zero-Shot Outperforms Supervised Video Camouflaged Object SegmentationCode0
Volume of hyperintense inflammation (VHI): a deep learning-enabled quantitative imaging biomarker of inflammation load in spondyloarthritisCode0
Image Segmentation: Inducing graph-based learningCode0
Hybrid Cascaded Neural Network for Liver Lesion SegmentationCode0
Large-kernel Attention for Efficient and Robust Brain Lesion SegmentationCode0
AutoPET Challenge 2022: Automatic Segmentation of Whole-body Tumor Lesion Based on Deep Learning and FDG PET/CTCode0
How We Won the ISLES'24 Challenge by PreprocessingCode0
Automatic skin lesion segmentation with fully convolutional-deconvolutional networksCode0
H-DenseUNet: Hybrid Densely Connected UNet for Liver and Tumor Segmentation from CT VolumesCode0
Automated Breast Lesion Segmentation in Ultrasound ImagesCode0
Segmentation Style Discovery: Application to Skin Lesion ImagesCode0
Learn to Segment Retinal Lesions and BeyondCode0
LeFusion: Controllable Pathology Synthesis via Lesion-Focused Diffusion ModelsCode0
ScaleFusionNet: Transformer-Guided Multi-Scale Feature Fusion for Skin Lesion SegmentationCode0
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