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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 1026–1050 of 1207 papers

TitleStatusHype
Lung cancer screening with low-dose CT scans using a deep learning approach—0
PHT-bot: Deep-Learning based system for automatic risk stratification of COPD patients based upon signs of Pulmonary Hypertension—0
Dual-branch residual network for lung nodule segmentation—0
A 2D dilated residual U-Net for multi-organ segmentation in thoracic CT—0
X2CT-GAN: Reconstructing CT from Biplanar X-Rays with Generative Adversarial NetworksCode0
A Cone-Beam X-Ray CT Data Collection designed for Machine LearningCode0
Two-Stage Convolutional Neural Network Architecture for Lung Nodule Detection—0
DLIMD: Dictionary Learning based Image-domain Material Decomposition for spectral CT—0
Lung Nodule Classification using Deep Local-Global NetworksCode0
Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection—0
Fast Enhanced CT Metal Artifact Reduction using Data Domain Deep LearningCode0
Deep Learning Based Computed Tomography Whys and Wherefores—0
DeepSEED: 3D Squeeze-and-Excitation Encoder-Decoder Convolutional Neural Networks for Pulmonary Nodule DetectionCode0
Controlling Neural Networks via Energy Dissipation—0
Image Reconstruction: From Sparsity to Data-adaptive Methods and Machine Learning—0
The KiTS19 Challenge Data: 300 Kidney Tumor Cases with Clinical Context, CT Semantic Segmentations, and Surgical OutcomesCode0
Combining many-objective radiomics and 3D convolutional neural network through evidential reasoning to predict lymph node metastasis in head and neck cancer—0
3D Organ Shape Reconstruction from Topogram Images—0
An Approach for Adaptive Automatic Threat Recognition Within 3D Computed Tomography Images for Baggage Security Screening—0
Automatic Pulmonary Lobe Segmentation Using Deep LearningCode0
Automated pulmonary nodule detection using 3D deep convolutional neural networks—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Convolutional Sparse Coding for Compressed Sensing CT Reconstruction—0
Interactive segmentation of medical images through fully convolutional neural networks—0
Distributed deep learning for robust multi-site segmentation of CT imaging after traumatic brain injury—0
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