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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 876900 of 1207 papers

TitleStatusHype
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes0
Adaptive Compressed Tomography Sensing0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN0
A dataset of over one thousand computed tomography scans of battery cells0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent0
A deep learning-based method for relative location prediction in CT scan images0
A Deep Learning System That Generates Quantitative CT Reports for Diagnosing Pulmonary Tuberculosis0
Advancing Multimodal Medical Capabilities of Gemini0
Labelling Vertebrae with 2D Reformations of Multidetector CT Images: An Adversarial Approach for Incorporating Prior Knowledge of Spine Anatomy0
Adversarial Uni- and Multi-modal Stream Networks for Multimodal Image Registration0
FQGA-single: Towards Fewer Training Epochs and Fewer Model Parameters for Image-to-Image Translation Tasks0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application0
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes0
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks0
Aging prediction using deep generative model toward the development of preventive medicine0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images0
A Graphical Approach For Brain Haemorrhage Segmentation0
A hierarchical approach to deep learning and its application to tomographic reconstruction0
HRCTCov19 -- A High-Resolution Chest CT Scan Image Dataset for COVID-19 Diagnosis and Differentiation0
A Hybrid Deep Learning CNN Model for Enhanced COVID-19 Detection from Computed Tomography (CT) Scan Images0
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