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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 381–390 of 640 papers

TitleStatusHype
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
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