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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 526–550 of 1207 papers

TitleStatusHype
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
A statistical method for crack detection in 3D concrete images—0
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
A Flexible Three-Dimensional Hetero-phase Computed Tomography Hepatocellular Carcinoma (HCC) Detection Algorithm for Generalizable and Practical HCC Screening—0
Lung cancer screening with low-dose CT scans using a deep learning approach—0
Coronavirus (COVID-19) Classification using CT Images by Machine Learning Methods—0
Coronary artery segmentation in non-contrast calcium scoring CT images using deep learning—0
Assessing Robustness to Noise: Low-Cost Head CT Triage—0
A simple and effective approach for body part recognition on CT scans based on projection estimation—0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application—0
FQGA-single: Towards Fewer Training Epochs and Fewer Model Parameters for Image-to-Image Translation Tasks—0
COPD Classification in CT Images Using a 3D Convolutional Neural Network—0
Convolutional Sparse Support Estimator Based Covid-19 Recognition from X-ray Images—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Domain specific cues improve robustness of deep learning based segmentation of ct volumes—0
GAN-based disentanglement learning for chest X-ray rib suppression—0
GAN-based Synthetic Medical Image Augmentation for increased CNN Performance in Liver Lesion Classification—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Convolutional Neural Networks for Segmentation of Malignant Pleural Mesothelioma: Analysis of Probability Map Thresholds (CALGB 30901, Alliance)—0
Controlling Neural Networks via Energy Dissipation—0
Artificial Intelligence Augmented Medical Imaging Reconstruction in Radiation Therapy—0
Contrast Phase Classification with a Generative Adversarial Network—0
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