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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 441–450 of 1207 papers

TitleStatusHype
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
DiffULD: Diffusive Universal Lesion Detection—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
End-to-End Abnormality Detection in Medical Imaging—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
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