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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 876–900 of 1207 papers

TitleStatusHype
CVR-Net: A deep convolutional neural network for coronavirus recognition from chest radiography imagesCode0
U-Net Based Architecture for an Improved Multiresolution Segmentation in Medical Images—0
Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review—0
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search—0
Inertial Measurements for Motion Compensation in Weight-bearing Cone-beam CT of the Knee—0
Novel Subtypes of Pulmonary Emphysema Based on Spatially-Informed Lung Texture Learning—0
Unsupervised CT Metal Artifact Learning using Attention-guided beta-CycleGAN—0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration—0
Harvesting, Detecting, and Characterizing Liver Lesions from Large-scale Multi-phase CT Data via Deep Dynamic Texture Learning—0
A lateral semicircular canal segmentation based geometric calibration for human temporal bone CT Image—0
Ricci Curvature Based Volumetric Segmentation of the Auditory Ossicles—0
Does Non-COVID19 Lung Lesion Help? Investigating Transferability in COVID-19 CT Image Segmentation—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss—0
A Review of Automated Diagnosis of COVID-19 Based on Scanning Images—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Structurally aware bidirectional unpaired image to image translation between CT and MR—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
Unsupervised Sparse-view Backprojection via Convolutional and Spatial Transformer Networks—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
Probabilistic self-learning framework for Low-dose CT Denoising—0
MetaInv-Net: Meta Inversion Network for Sparse View CT Image Reconstruction—0
Human Recognition Using Face in Computed Tomography—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Co-Heterogeneous and Adaptive Segmentation from Multi-Source and Multi-Phase CT Imaging Data: A Study on Pathological Liver and Lesion Segmentation—0
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