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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 376–400 of 640 papers

TitleStatusHype
Ischemic Stroke Lesion Segmentation Using Adversarial Learning—0
Segmentation Network with Compound Loss Function for Hydatidiform Mole Hydrops Lesion Recognition—0
CCAT-NET: A Novel Transformer Based Semi-supervised Framework for Covid-19 Lung Lesion Segmentation—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
AGMR-Net: Attention Guided Multiscale Recovery framework for stroke segmentation—0
A novel unsupervised covid lung lesion segmentation based on the lung tissue identification—0
Segmentation and Risk Score Prediction of Head and Neck Cancers in PET/CT Volumes with 3D U-Net and Cox Proportional Hazard Neural Networks—0
A Field of Experts Prior for Adapting Neural Networks at Test TimeCode0
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers—0
RTNet: Relation Transformer Network for Diabetic Retinopathy Multi-lesion Segmentation—0
Cortical lesions, central vein sign, and paramagnetic rim lesions in multiple sclerosis: emerging machine learning techniques and future avenues—0
A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19—0
Expert Knowledge-guided Geometric Representation Learning for Magnetic Resonance Imaging-based Glioma Grading—0
Skin lesion segmentation and classification using deep learning and handcrafted features—0
Cross-Domain Federated Learning in Medical Imaging—0
ASC-Net: Unsupervised Medical Anomaly Segmentation Using an Adversarial-based Selective Cutting Network—0
Quality monitoring of federated Covid-19 lesion segmentation—0
Automated assessment of disease severity of COVID-19 using artificial intelligence with synthetic chest CT—0
Unsupervised COVID-19 Lesion Segmentation in CT Using Cycle Consistent Generative Adversarial Network—0
Automated skin lesion segmentation using multi-scale feature extraction scheme and dual-attention mechanism—0
T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
MDA-Net: Multiscale dual attention-based network for breast lesion segmentation using ultrasound imagesCode0
Ultrasound Domain Adaptation Using Frequency Domain Analysis—0
An Ultra-Fast Method for Simulation of Realistic Ultrasound Images—0
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