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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 421–430 of 1207 papers

TitleStatusHype
View it like a radiologist: Shifted windows for deep learning augmentation of CT imagesCode0
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Lung cancer detection from thoracic CT scans using an ensemble of deep learning modelsCode0
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Harnessing Transformers: A Leap Forward in Lung Cancer Image Detection—0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images—0
MD-IQA: Learning Multi-scale Distributed Image Quality Assessment with Semi Supervised Learning for Low Dose CTCode0
UMedNeRF: Uncertainty-aware Single View Volumetric Rendering for Medical Neural Radiance Fields—0
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