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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 501–550 of 1207 papers

TitleStatusHype
End-to-End Abnormality Detection in Medical Imaging—0
End-to-End Deep Learning for Interior Tomography with Low-Dose X-ray CT—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
Classification of lung cancer subtypes on CT images with synthetic pathological priors—0
Precise phase retrieval for propagation-based images using discrete mathematics—0
Enhanced Synthetic MRI Generation from CT Scans Using CycleGAN with Feature Extraction—0
Enhancing Cancer Prediction in Challenging Screen-Detected Incident Lung Nodules Using Time-Series Deep Learning—0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans—0
Enhancing Low-dose CT Image Reconstruction by Integrating Supervised and Unsupervised Learning—0
Enhancing mTBI Diagnosis with Residual Triplet Convolutional Neural Network Using 3D CT—0
Atrous Residual Interconnected Encoder to Attention Decoder Framework for Vertebrae Segmentation via 3D Volumetric CT Images—0
Age-Conditioned Synthesis of Pediatric Computed Tomography with Auxiliary Classifier Generative Adversarial Networks—0
Improving Generalizability in Limited-Angle CT Reconstruction with Sinogram Extrapolation—0
COVID-19 Detection Using Slices Processing Techniques and a Modified Xception Classifier from Computed Tomography Images—0
3D Tomographic Pattern Synthesis for Enhancing the Quantification of COVID-19—0
Genaue modellbasierte Identifikation von gynäkologischen Katheterpfaden für die MRT-bildgestützte Brachytherapie—0
COVID-19 Detection in Computed Tomography Images with 2D and 3D Approaches—0
Gated-Dilated Networks for Lung Nodule Classification in CT scans—0
Generative Adversarial U-Net for Domain-free Medical Image Augmentation—0
COVID-19 CT Image Synthesis with a Conditional Generative Adversarial Network—0
A Teacher-Student Framework with Fourier Augmentation for COVID-19 Infection Segmentation in CT Images—0
Covid-19 classification with deep neural network and belief functions—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
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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