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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 926–950 of 1207 papers

TitleStatusHype
Montage based 3D Medical Image Retrieval from Traumatic Brain Injury Cohort using Deep Convolutional Neural Network—0
MozzaVID: Mozzarella Volumetric Image Dataset—0
MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT Reconstruction—0
MSKdeX: Musculoskeletal (MSK) decomposition from an X-ray image for fine-grained estimation of lean muscle mass and muscle volume—0
Multibranch Generative Models for Multichannel Imaging with an Application to PET/CT Synergistic Reconstruction—0
Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography—0
Multi-Class 3D Object Detection Within Volumetric 3D Computed Tomography Baggage Security Screening Imagery—0
MCDIP-ADMM: Overcoming Overfitting in DIP-based CT reconstruction—0
Multi-Contrast Computed Tomography Atlas of Healthy Pancreas—0
Multi-Contrast Computed Tomography Healthy Kidney Atlas—0
Multi-Contrast Super-Resolution MRI Through a Progressive Network—0
Multi-Cycle-Consistent Adversarial Networks for Edge Denoising of Computed Tomography Images—0
Multi-Depth Fusion Network for Whole-Heart CT Image Segmentation—0
Multi-layer Clustering-based Residual Sparsifying Transform for Low-dose CT Image Reconstruction—0
Multi-Material Blind Beam Hardening Correction Based on Non-Linearity Adjustment of Projections—0
Multi-modal 3D Pose and Shape Estimation with Computed Tomography—0
Multimodal Deformable Image Registration for Long-COVID Analysis Based on Progressive Alignment and Multi-perspective Loss—0
Multi-Modality Information Fusion for Radiomics-based Neural Architecture Search—0
Multi-modality super-resolution loss for GAN-based super-resolution of clinical CT images using micro CT image database—0
Multi-modal segmentation of 3D brain scans using neural networks—0
Multi-organ Segmentation Network with Adversarial Performance Validator—0
Multipath cycleGAN for harmonization of paired and unpaired low-dose lung computed tomography reconstruction kernels—0
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting—0
Multiple resolution residual network for automatic thoracic organs-at-risk segmentation from CT—0
Multi-scale Image Fusion Between Pre-operative Clinical CT and X-ray Microtomography of Lung Pathology—0
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