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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 1061–1070 of 1207 papers

TitleStatusHype
Controlling Neural Networks via Energy Dissipation—0
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images—0
COPD Classification in CT Images Using a 3D Convolutional Neural Network—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
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