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Computed Tomography (CT)

The term “computed tomography”, or CT, refers to a computerized x-ray imaging procedure in which a narrow beam of x-rays is aimed at a patient and quickly rotated around the body, producing signals that are processed by the machine's computer to generate cross-sectional images—or “slices”—of the body.

( Image credit: Liver Lesion Detection from Weakly-labeled Multi-phase CT Volumes with a Grouped Single Shot MultiBox Detector )

Papers

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Showing 381–390 of 1207 papers

TitleStatusHype
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
A new semi-supervised self-training method for lung cancer prediction—0
A dataset of over one thousand computed tomography scans of battery cells—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
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