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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 71–80 of 1207 papers

TitleStatusHype
Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer—0
Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potential—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
CSF-Net: Cross-Modal Spatiotemporal Fusion Network for Pulmonary Nodule Malignancy PredictingCode0
Marker Track: Accurate Fiducial Marker Tracking for Evaluation of Residual Motions During Breath-Hold Radiotherapy—0
Radiologist-in-the-Loop Self-Training for Generalizable CT Metal Artifact ReductionCode1
Robust Body Composition Analysis by Generating 3D CT Volumes from Limited 2D Slices—0
MEDFORM: A Foundation Model for Contrastive Learning of CT Imaging and Clinical Numeric Data in Multi-Cancer AnalysisCode0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
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