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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 401450 of 1207 papers

TitleStatusHype
Cross-Modal Domain Adaptation in Brain Disease Diagnosis: Maximum Mean Discrepancy-based Convolutional Neural Networks0
Cross-domain Iterative Network for Simultaneous Denoising, Limited-angle Reconstruction, and Attenuation Correction of Low-dose Cardiac SPECT0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness0
AutoCT: Automated CT registration, segmentation, and quantification0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search0
A Graphical Approach For Brain Haemorrhage Segmentation0
Deep Unfolding of the DBFB Algorithm with Application to ROI CT Imaging with Limited Angular Density0
Deep Variational Networks with Exponential Weighting for Learning Computed Tomography0
Delving Deep into Liver Focal Lesion Detection: A Preliminary Study0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation0
Design of Novel Loss Functions for Deep Learning in X-ray CT0
A Multi-Stage Attentive Transfer Learning Framework for Improving COVID-19 Diagnosis0
Detecting COVID-19 from Chest Computed Tomography Scans using AI-Driven Android Application0
Cross-dataset domain adaptation for the classification COVID-19 using chest computed tomography images0
An Attention Mechanism with Multiple Knowledge Sources for COVID-19 Detection from CT Images0
Automated detection of underdiagnosed medical conditions via opportunistic imaging0
Benchmarking learned algorithms for computed tomography image reconstruction tasks0
Detection and Attention: Diagnosing Pulmonary Lung Cancer from CT by Imitating Physicians0
Detection and Segmentation of Pancreas using Morphological Snakes and Deep Convolutional Neural Networks0
Detection and severity classification of COVID-19 in CT images using deep learning0
Detection-Guided Deep Learning-Based Model with Spatial Regularization for Lung Nodule Segmentation0
Attention Feature Fusion Network via Knowledge Propagation for Automated Respiratory Sound Classification0
Detection of Sclerotic Spine Metastases via Random Aggregation of Deep Convolutional Neural Network Classifications0
Detection of subclinical atherosclerosis by image-based deep learning on chest x-ray0
Development of a Deep Learning Method to Identify Acute Ischemic Stroke Lesions on Brain CT0
Development of pericardial fat count images using a combination of three different deep-learning models0
DFS-based fast crack detection0
A Gradient Mapping Guided Explainable Deep Neural Network for Extracapsular Extension Identification in 3D Head and Neck Cancer Computed Tomography Images0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review0
Bio-Inspired Feature Selection in Brain Disease Detection via an Improved Sparrow Search Algorithm0
Discretized Gaussian Representation for Tomographic Reconstruction0
A computationally efficient reconstruction algorithm for circular cone-beam computed tomography using shallow neural networks0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images0
DiffULD: Diffusive Universal Lesion Detection0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography0
DuDoNet: Dual Domain Network for CT Metal Artifact Reduction0
DiffusionCT: Latent Diffusion Model for CT Image Standardization0
End-to-End Abnormality Detection in Medical Imaging0
COVID-Rate: An Automated Framework for Segmentation of COVID-19 Lesions from Chest CT Scans0
Attention-Enhanced Cross-Task Network for Analysing Multiple Attributes of Lung Nodules in CT0
A GLCM Embedded CNN Strategy for Computer-aided Diagnosis in Intracerebral Hemorrhage0
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