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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 726–750 of 1207 papers

TitleStatusHype
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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