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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 776–800 of 1207 papers

TitleStatusHype
Automated 3D cephalometric landmark identification using computerized tomography—0
Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection in CT SlicesCode0
Representing Ambiguity in Registration Problems with Conditional Invertible Neural Networks—0
LEARN++: Recurrent Dual-Domain Reconstruction Network for Compressed Sensing CTCode0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
Local Models for Scatter Estimation and Descattering in Polyenergetic X-Ray Tomography—0
AIforCOVID: predicting the clinical outcomes in patients with COVID-19 applying AI to chest-X-rays. An Italian multicentre studyCode0
Distant Domain Transfer Learning for Medical Imaging—0
Robustness Investigation on Deep Learning CT Reconstruction for Real-Time Dose Optimization—0
Spatiotemporal tomography based on scattered multiangular signals and its application for resolving evolving clouds using moving platformsCode0
XraySyn: Realistic View Synthesis From a Single Radiograph Through CT PriorsCode1
SAM: Self-supervised Learning of Pixel-wise Anatomical Embeddings in Radiological ImagesCode1
Critical Evaluation of Deep Neural Networks for Wrist Fracture DetectionCode1
Explaining Predictions of Deep Neural Classifier via Activation Analysis—0
COVID-CLNet: COVID-19 Detection with Compressive Deep Learning Approaches—0
Generation of annotated multimodal ground truth datasets for abdominal medical image registration—0
Sparse-View Spectral CT Reconstruction Using Deep Learning—0
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive EvaluationCode1
Continuous Conversion of CT Kernel using Switchable CycleGAN with AdaINCode1
Unsupervised domain adaptation based COVID-19 CT infection segmentation network—0
Crowdsourcing Airway Annotations in Chest Computed Tomography ImagesCode0
ResCovNet: A Deep Learning-Based Architecture For COVID-19 Detection From Chest CT Scan Images—0
Disassemblable Fieldwork CT Scanner Using a 3D-printed Calibration Phantom—0
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
Interpretable and synergistic deep learning for visual explanation and statistical estimations of segmentation of disease features from medical images—0
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