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 741–750 of 1207 papers

TitleStatusHype
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
D2A U-Net: Automatic Segmentation of COVID-19 Lesions from CT Slices with Dilated Convolution and Dual Attention MechanismCode1
A Real-World Demonstration of Machine Learning Generalizability: Intracranial Hemorrhage Detection on Head CT—0
Multi-Label Annotation of Chest Abdomen Pelvis Computed Tomography Text Reports Using Deep LearningCode0
Automatic Segmentation of Organs-at-Risk from Head-and-Neck CT using Separable Convolutional Neural Network with Hard-Region-Weighted LossCode1
Few-shot Learning for CT Scan based COVID-19 Diagnosis—0
A fast method for simultaneous reconstruction and segmentation in X-ray CT application—0
Automated femur segmentation from computed tomography images using a deep neural network—0
Show:102550
← PrevPage 75 of 121Next →

No leaderboard results yet.