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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 401–425 of 1207 papers

TitleStatusHype
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks—0
Direct high-order edge-preserving regularization for tomographic image reconstruction—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Dual Network Architecture for Few-view CT -- Trained on ImageNet Data and Transferred for Medical Imaging—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density—0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography—0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
Design of Novel Loss Functions for Deep Learning in X-ray CT—0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis—0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application—0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT—0
Detecting Electric Devices in 3D Images of Bags—0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage—0
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