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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 501–525 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
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