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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 1121–1130 of 1207 papers

TitleStatusHype
Joint Learning for Pulmonary Nodule Segmentation, Attributes and Malignancy Prediction—0
Highly accurate model for prediction of lung nodule malignancy with CT scans—0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
On the influence of Dice loss function in multi-class organ segmentation of abdominal CT using 3D fully convolutional networks—0
Synthetic Data Augmentation using GAN for Improved Liver Lesion Classification—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
End-to-End Abnormality Detection in Medical Imaging—0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
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