SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 781–790 of 1207 papers

TitleStatusHype
RCoNet: Deformable Mutual Information Maximization and High-order Uncertainty-aware Learning for Robust COVID-19 Detection—0
Classification of COVID-19 via Homology of CT-SCAN—0
Noise Entangled GAN For Low-Dose CT Simulation—0
Deep learning-based COVID-19 pneumonia classification using chest CT images: model generalizability—0
Boosting Deep Transfer Learning for COVID-19 Classification—0
Plug-and-Play gradient-based denoisers applied to CT image enhancementCode0
Detection and severity classification of COVID-19 in CT images using deep learning—0
Fusion of convolution neural network, support vector machine and Sobel filter for accurate detection of COVID-19 patients using X-ray images—0
Uncertainty-Aware Semi-Supervised Method Using Large Unlabeled and Limited Labeled COVID-19 Data—0
A multiscale model of vascular function in chronic thromboembolic pulmonary hypertension—0
Show:102550
← PrevPage 79 of 121Next →

No leaderboard results yet.