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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 851–900 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
Local Models for Scatter Estimation and Descattering in Polyenergetic X-Ray Tomography—0
Longitudinal Variability Analysis on Low-dose Abdominal CT with Deep Learning-based Segmentation—0
Loop Unrolled Shallow Equilibrium Regularizer (LUSER) -- A Memory-Efficient Inverse Problem Solver—0
Lose The Views: Limited Angle CT Reconstruction via Implicit Sinogram Completion—0
Low-Dose CT Image Enhancement Using Deep Learning—0
Enhanced Low-Dose CT Image Reconstruction by Domain and Task Shifting Gaussian Denoisers—0
Low-Dose CT Image Reconstruction using Vector Quantized Convolutional Autoencoder with Perceptual Loss—0
Low Dose CT Image Reconstruction With Learned Sparsifying Transform—0
Low-Dose CT via Deep CNN with Skip Connection and Network in Network—0
Low-dose spectral CT reconstruction using L0 image gradient and tensor dictionary—0
Low radiation tomographic reconstruction with and without template information—0
LTSP: Long-Term Slice Propagation for Accurate Airway Segmentation—0
LUND-PROBE -- LUND Prostate Radiotherapy Open Benchmarking and Evaluation dataset—0
LungViT: Ensembling Cascade of Texture Sensitive Hierarchical Vision Transformers for Cross-Volume Chest CT Image-to-Image Translation—0
Lung-CADex: Fully automatic Zero-Shot Detection and Classification of Lung Nodules in Thoracic CT Images—0
Lung Cancer Detection and Classification based on Image Processing and Statistical Learning—0
Lung Cancer Detection using Co-learning from Chest CT Images and Clinical Demographics—0
Lung CT Imaging Sign Classification through Deep Learning on Small Data—0
Lung-DETR: Deformable Detection Transformer for Sparse Lung Nodule Anomaly Detection—0
CT-LungNet: A Deep Learning Framework for Precise Lung Tissue Segmentation in 3D Thoracic CT Scans—0
Lung Segmentation and Nodule Detection in Computed Tomography Scan using a Convolutional Neural Network Trained Adversarially using Turing Test Loss—0
μ^2Tokenizer: Differentiable Multi-Scale Multi-Modal Tokenizer for Radiology Report Generation—0
MACE CT Reconstruction for Modular Material Decomposition from Energy Resolving Photon-Counting Data—0
Machine Friendly Machine Learning: Interpretation of Computed Tomography Without Image Reconstruction—0
Machine Learning Applications in Traumatic Brain Injury: A Spotlight on Mild TBI—0
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