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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 701–750 of 1207 papers

TitleStatusHype
Improving Tuberculosis (TB) Prediction using Synthetically Generated Computed Tomography (CT) ImagesCode0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT ScansCode0
Asymmetric 3D Context Fusion for Universal Lesion DetectionCode0
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data—0
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT—0
Cross-Site Severity Assessment of COVID-19 from CT Images via Domain Adaptation—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Generative Models Improve Radiomics Performance in Different Tasks and Different Datasets: An Experimental Study—0
Stationary Multi-source AI-powered Real-time Tomography (SMART)—0
Deep learning based dictionary learning and tomographic image reconstruction—0
Spatio-Temporal Split Learning for Privacy-Preserving Medical Platforms: Case Studies with COVID-19 CT, X-Ray, and Cholesterol Data—0
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening—0
MVCNet: Multiview Contrastive Network for Unsupervised Representation Learning for 3D CT Lesions—0
Resetting the baseline: CT-based COVID-19 diagnosis with Deep Transfer Learning is not as accurate as widely thought—0
Medical-VLBERT: Medical Visual Language BERT for COVID-19 CT Report Generation With Alternate Learning—0
PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images—0
FL-MISR: Fast Large-Scale Multi-Image Super-Resolution for Computed Tomography Based on Multi-GPU Acceleration—0
AI-based Aortic Vessel Tree Segmentation for Cardiovascular Diseases Treatment: Status Quo—0
Uncertainty-Based Dynamic Graph Neighborhoods For Medical SegmentationCode0
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting—0
Technical Report: Quality Assessment Tool for Machine Learning with Clinical CTCode0
RECIST-Net: Lesion detection via grouping keypoints on RECIST-based annotation—0
Frequency-Supervised MR-to-CT Image SynthesisCode0
Zero-Shot Domain Adaptation in CT Segmentation by Filtered Back Projection AugmentationCode0
Attention based CNN-LSTM Network for Pulmonary Embolism Prediction on Chest Computed Tomography Pulmonary Angiograms—0
Medical Imaging with Deep Learning for COVID- 19 Diagnosis: A Comprehensive Review—0
Training of deep cross-modality conversion models with a small dataset, and their application in megavoltage CT to kilovoltage CT conversion—0
Visual Transformer with Statistical Test for COVID-19 Classification—0
Effect of Input Size on the Classification of Lung Nodules Using Convolutional Neural Networks—0
Weaving Attention U-net: A Novel Hybrid CNN and Attention-based Method for Organs-at-risk Segmentation in Head and Neck CT Images—0
Scopeformer: n-CNN-ViT Hybrid Model for Intracranial Hemorrhage Classification—0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans—0
CT Image Harmonization for Enhancing Radiomics Studies—0
Knee Osteoarthritis Severity Prediction using an Attentive Multi-Scale Deep Convolutional Neural Network—0
Relationship between pulmonary nodule malignancy and surrounding pleurae, airways and vessels: a quantitative study using the public LIDC-IDRI dataset—0
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis—0
Context-aware PolyUNet for Liver and Lesion Segmentation from Abdominal CT Images—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Deep learning based low-dose synchrotron radiation CT reconstruction—0
Weakly Supervised Volumetric Image Segmentation with Deformed Templates—0
End-to-end reconstruction meets data-driven regularization for inverse problemsCode0
Effort-free Automated Skeletal Abnormality Detection of Rat Fetuses on Whole-body Micro-CT Scans—0
Deep Clustering Activation Maps for Emphysema Subtyping—0
Human-level COVID-19 Diagnosis from Low-dose CT Scans Using a Two-stage Time-distributed Capsule NetworkCode0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
COVID-19 Lung Lesion Segmentation Using a Sparsely Supervised Mask R-CNN on Chest X-rays Automatically Computed from Volumetric CTsCode0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
DARNet: Dual-Attention Residual Network for Automatic Diagnosis of COVID-19 via CT ImagesCode0
Unsupervised Acute Intracranial Hemorrhage Segmentation with Mixture Models—0
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