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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 211–220 of 1207 papers

TitleStatusHype
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal CT Scans—0
Benchmarking learned algorithms for computed tomography image reconstruction tasks—0
Benign-Malignant Lung Nodule Classification with Geometric and Appearance Histogram Features—0
Beyond COVID-19 Diagnosis: Prognosis with Hierarchical Graph Representation Learning—0
BeyondCT: A deep learning model for predicting pulmonary function from chest CT scans—0
Bidirectional Brain Image Translation using Transfer Learning from Generic Pre-trained Models—0
Bi-level Guided Diffusion Models for Zero-Shot Medical Imaging Inverse Problems—0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
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