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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 351–360 of 1207 papers

TitleStatusHype
Deep learning to achieve clinically applicable segmentation of head and neck anatomy for radiotherapyCode0
Deep Learning with Domain Adaptation for Accelerated Projection-Reconstruction MRCode0
COIN: Counterfactual inpainting for weakly supervised semantic segmentation for medical imagesCode0
Deep learning-based auto-contouring of organs/structures-at-risk for pediatric upper abdominal radiotherapyCode0
DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and ClassificationCode0
Data-Efficient Limited-Angle CT Using Deep Priors and RegularizationCode0
Deep conditional generative models for longitudinal single-slice abdominal computed tomography harmonizationCode0
Automated segmentation of an intensity calibration phantom in clinical CT images using a convolutional neural networkCode0
DeepEM: Deep 3D ConvNets With EM For Weakly Supervised Pulmonary Nodule DetectionCode0
DECOR-NET: A COVID-19 Lung Infection Segmentation Network Improved by Emphasizing Low-level Features and Decorrelating FeaturesCode0
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