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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 311–320 of 1207 papers

TitleStatusHype
Automated Methods for Detection and Classification Pneumonia based on X-Ray Images Using Deep Learning—0
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo—0
A Computer-Aided Diagnosis System Using Artificial Intelligence for Hip Fractures -Multi-Institutional Joint Development Research-—0
Automated femur segmentation from computed tomography images using a deep neural network—0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images—0
3D U-Net for segmentation of COVID-19 associated pulmonary infiltrates using transfer learning: State-of-the-art results on affordable hardware—0
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
Automated COVID-19 CT Image Classification using Multi-head Channel Attention in Deep CNN—0
3D Aggregated Faster R-CNN for General Lesion Detection—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
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