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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

Showing 641650 of 1207 papers

TitleStatusHype
Automated airway segmentation by learning graphical structure0
Semi-Supervised Segmentation of Radiation-Induced Pulmonary Fibrosis from Lung CT Scans with Multi-Scale Guided Dense AttentionCode1
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-Search0
Asymmetric 3D Context Fusion for Universal Lesion DetectionCode0
RibSeg Dataset and Strong Point Cloud Baselines for Rib Segmentation from CT ScansCode0
DeepMTS: Deep Multi-task Learning for Survival Prediction in Patients with Advanced Nasopharyngeal Carcinoma using Pretreatment PET/CTCode1
Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data0
Unsupervised domain adaptation for cross-modality liver segmentation via joint adversarial learning and self-learningCode1
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT0
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