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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
End-to-end Lung Nodule Detection in Computed Tomography—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—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
Adapting SAM for Volumetric X-Ray Data-sets of Arbitrary Sizes—0
A Bottom-Up Approach for Automatic Pancreas Segmentation in Abdominal 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
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
DeepStationing: Thoracic Lymph Node Station Parsing in CT Scans using Anatomical Context Encoding and Key Organ Auto-Search—0
Deep Sinogram Completion with Image Prior for Metal Artifact Reduction in CT Images—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Deep Sequential Learning for Cervical Spine Fracture Detection on Computed Tomography Imaging—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Deep Residual Learning for Compressed Sensing CT Reconstruction via Persistent Homology Analysis—0
Deep Representation Learning of Tissue Metabolome and Computed Tomography Images Annotates Non-invasive Classification and Prognosis Prediction of NSCLC—0
Deep Radon Prior: A Fully Unsupervised Framework for Sparse-View CT Reconstruction—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation—0
Deep-neural-network based sinogram synthesis for sparse-view CT image reconstruction—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
Deep Multi-task Prediction of Lung Cancer and Cancer-free Progression from Censored Heterogenous Clinical Imaging—0
Deep Multi-Scale Resemblance Network for the Sub-class Differentiation of Adrenal Masses on Computed Tomography Images—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image Data—0
Deep Multi-path Network Integrating Incomplete Biomarker and Chest CT Data for Evaluating Lung Cancer Risk—0
Deeply Self-Supervised Contour Embedded Neural Network Applied to Liver Segmentation—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Active Learning on Medical Image—0
Abdominal multi-organ segmentation in CT using Swinunter—0
Deep learning to estimate the physical proportion of infected region of lung for COVID-19 pneumonia with CT image set—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Deep Learning System to Screen Coronavirus Disease 2019 Pneumonia—0
Automatic segmentation of kidney and liver tumors in CT images—0
Deep-learning Segmentation of Small Volumes in CT images for Radiotherapy Treatment Planning—0
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Deep Learning Models for Classification of COVID-19 Cases by Medical Images—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
A Lightweight Structure Aimed to Utilize Spatial Correlation for Sparse-View CT Reconstruction—0
Active CT Reconstruction with a Learned Sampling Policy—0
Fully Automated Deep Learning-enabled Detection for Hepatic Steatosis on Computed Tomography: A Multicenter International Validation Study—0
Deep learning for cardiac image segmentation: A review—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Deep-Learning Driven Noise Reduction for Reduced Flux Computed Tomography—0
Deep Learning CT Image Restoration using System Blur and Noise Models—0
A Lightweight Dual-Domain Attention Framework for Sparse-View CT Reconstruction—0
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