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 851–875 of 1207 papers

TitleStatusHype
Large-Kernel Attention for 3D Medical Image Segmentation—0
Latent Diffusion Model for Medical Image Standardization and Enhancement—0
Latent Space Consistency for Sparse-View CT Reconstruction—0
Learned 3D volumetric recovery of clouds and its uncertainty for climate analysis—0
Learned denoising with simulated and experimental low-dose CT data—0
Learned Spectral Computed Tomography—0
Learning-based Bone Quality Classification Method for Spinal Metastasis—0
Learning from Pseudo Lesion: A Self-supervised Framework for COVID-19 Diagnosis—0
Learning Generalizable Features for Tibial Plateau Fracture Segmentation Using Masked Autoencoder and Limited Annotations—0
Learning Robust Features for Scatter Removal and Reconstruction in Dynamic ICF X-Ray Tomography—0
Learning to Avoid Poor Images: Towards Task-aware C-arm Cone-beam CT Trajectories—0
Learning to Scan: A Deep Reinforcement Learning Approach for Personalized Scanning in CT Imaging—0
Lesion-Aware Cross-Phase Attention Network for Renal Tumor Subtype Classification on Multi-Phase CT Scans—0
Lesion classification by model-based feature extraction: A differential affine invariant model of soft tissue elasticity—0
Lesion Conditional Image Generation for Improved Segmentation of Intracranial Hemorrhage from CT Images—0
Level set based particle filter driven by optical flow: an application to track the salt boundary from X-ray CT time-series—0
Leveraging Clinical Characteristics for Improved Deep Learning-Based Kidney Tumor Segmentation on CT—0
Leveraging Multimodal CycleGAN for the Generation of Anatomically Accurate Synthetic CT Scans from MRIs—0
Lightweight Framework for Automated Kidney Stone Detection using coronal CT images—0
Limited-angle CT reconstruction via the L1/L2 minimization—0
Liver lesion segmentation informed by joint liver segmentation—0
Liver Segmentation from Multimodal Images using HED-Mask R-CNN—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Liver Tumor Prediction with Advanced Attention Mechanisms Integrated into a Depth-Based Variant Search Algorithm—0
Local block-wise self attention for normal organ segmentation—0
Show:102550
← PrevPage 35 of 49Next →

No leaderboard results yet.