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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 401–425 of 1207 papers

TitleStatusHype
PELE scores: Pelvic X-ray Landmark Detection by Pelvis Extraction and Enhancement—0
CNN-based fully automatic mitral valve extraction using CT images and existence probability maps—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Advancing Ischemic Stroke Diagnosis: A Novel Two-Stage Approach for Blood Clot Origin Identification—0
MEDNC: Multi-ensemble deep neural network for COVID-19 diagnosis—0
Generalist Vision Foundation Models for Medical Imaging: A Case Study of Segment Anything Model on Zero-Shot Medical SegmentationCode1
Segmentation of Hemorrhagic Areas in Human Brain from CT Scan ImagesCode0
Cross-domain Denoising for Low-dose Multi-frame Spiral Computed TomographyCode1
NF-ULA: Langevin Monte Carlo with Normalizing Flow Prior for Imaging Inverse ProblemsCode0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
Zero-shot CT Field-of-view Completion with Unconditional Generative Diffusion Prior—0
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule ClassificationCode0
MESAHA-Net: Multi-Encoders based Self-Adaptive Hard Attention Network with Maximum Intensity Projections for Lung Nodule Segmentation in CT Scan—0
CoreDiff: Contextual Error-Modulated Generalized Diffusion Model for Low-Dose CT Denoising and GeneralizationCode1
Low-Dose CT Image Reconstruction using Vector Quantized Convolutional Autoencoder with Perceptual Loss—0
CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super ResolutionCode1
DiffULD: Diffusive Universal Lesion Detection—0
SynthRAD2023 Grand Challenge dataset: generating synthetic CT for radiotherapyCode1
DDMM-Synth: A Denoising Diffusion Model for Cross-modal Medical Image Synthesis with Sparse-view Measurement Embedding—0
Parallel Diffusion Model-based Sparse-view Cone-beam Breast CT—0
Task-based Generation of Optimized Projection Sets using Differentiable Ranking—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image SegmentationCode2
Uncertainty Driven Bottleneck Attention U-net for Organ at Risk SegmentationCode0
Improving Automated Hemorrhage Detection in Sparse-view Computed Tomography via Deep Convolutional Neural Network based Artifact Reduction—0
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