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

Showing 601625 of 1207 papers

TitleStatusHype
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior0
Efficient liver segmentation with 3D CNN using computed tomography scans0
Image Reconstruction by Splitting Expectation Propagation Techniques from Iterative Inversion0
Faint Features Tell: Automatic Vertebrae Fracture Screening Assisted by Contrastive Learning0
Spiral Contrastive Learning: An Efficient 3D Representation Learning Method for Unannotated CT Lesions0
Improving Computed Tomography (CT) Reconstruction via 3D Shape InductionCode0
Aging prediction using deep generative model toward the development of preventive medicine0
Structure Regularized Attentive Network for Automatic Femoral Head Necrosis Diagnosis and LocalizationCode0
Automatic lesion analysis for increased efficiency in outcome prediction of traumatic brain injury0
Slice-level Detection of Intracranial Hemorrhage on CT Using Deep Descriptors of Adjacent Slices0
A Novel Automated Classification and Segmentation for COVID-19 using 3D CT Scans0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis0
Opportunistic hip fracture risk prediction in Men from X-ray: Findings from the Osteoporosis in Men (MrOS) Study0
Large-Kernel Attention for 3D Medical Image Segmentation0
Trainable Joint Bilateral Filters for Enhanced Prediction Stability in Low-dose CT0
Human Treelike Tubular Structure Segmentation: A Comprehensive Review and Future Perspectives0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets0
Spatiotemporal Feature Learning Based on Two-Step LSTM and Transformer for CT Scans0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT0
COVID-19 Detection Using Transfer Learning Approach from Computed Tomography ImagesCode0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation0
Reconstruction and segmentation from sparse sequential X-ray measurements of wood logs0
3D unsupervised anomaly detection and localization through virtual multi-view projection and reconstruction: Clinical validation on low-dose chest computed tomographyCode0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation0
Dual Windows Are Significant: Learning from Mediastinal Window and Focusing on Lung Window0
Show:102550
← PrevPage 25 of 49Next →

No leaderboard results yet.