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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 526–550 of 1207 papers

TitleStatusHype
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Active Learning on Medical Image—0
Abdominal multi-organ segmentation in CT using Swinunter—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Automatic segmentation of kidney and liver tumors in CT images—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
Active CT Reconstruction with a Learned Sampling Policy—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep learning for cardiac image segmentation: A review—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
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