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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 551–560 of 1207 papers

TitleStatusHype
Deep Learning based Spectral CT Imaging—0
Deep Learning-based Multi-Organ CT Segmentation with Adversarial Data Augmentation—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Algorithm-driven Advances for Scientific CT Instruments: From Model-based to Deep Learning-based Approaches—0
A CT-based deep learning system for automatic assessment of aortic root morphology for TAVI planning—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
Iterative CT Reconstruction via Latent Variable Optimization of Shallow Diffusion Models—0
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