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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 1031–1040 of 1207 papers

TitleStatusHype
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Lung Nodule Classification using Deep Local-Global NetworksCode0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Deep Learning Based Computed Tomography Whys and Wherefores—0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Controlling Neural Networks via Energy Dissipation—0
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning—0
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