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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 976–1000 of 1207 papers

TitleStatusHype
Automatic 3D liver location and segmentation via convolutional neural networks and graph cut—0
Automatic Airway Segmentation in chest CT using Convolutional Neural Networks—0
Automatic Diagnosis of COVID-19 from CT Images using CycleGAN and Transfer Learning—0
Automatic Intracranial Brain Segmentation from Computed Tomography Head Images—0
Automatic Landmarks Correspondence Detection in Medical Images with an Application to Deformable Image Registration—0
Automatic Left Ventricular Cavity Segmentation via Deep Spatial Sequential Network in 4D Computed Tomography Studies—0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury—0
Automatic Localization of Deep Stimulation Electrodes Using Trajectory-based Segmentation Approach—0
Automatic Lumbar Spinal CT Image Segmentation with a Dual Densely Connected U-Net—0
Automatic Lung Cancer Prediction from Chest X-ray Images Using Deep Learning Approach—0
Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge—0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Automatic Registration between Cone-Beam CT and Scanned Surface via Deep-Pose Regression Neural Networks and Clustered Similarities—0
Automatic segmentation and determining radiodensity of the liver in a large-scale CT database—0
Automatic segmentation of kidney and liver tumors in CT images—0
Novel coronavirus pneumonia lesion segmentation in CT images—0
Automatic Segmentation of the Kidneys and Cystic Renal Lesions on Non-Contrast CT Using a Convolutional Neural Network—0
Automatic Spine Segmentation using Convolutional Neural Network via Redundant Generation of Class Labels for 3D Spine Modeling—0
Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Autoregressive Sequence Modeling for 3D Medical Image Representation—0
AVP-AP: Self-supervised Automatic View Positioning in 3D cardiac CT via Atlas Prompting—0
AWEU-Net: An Attention-Aware Weight Excitation U-Net for Lung Nodule Segmentation—0
BCD-Net for Low-dose CT Reconstruction: Acceleration, Convergence, and Generalization—0
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