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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 376–400 of 1207 papers

TitleStatusHype
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
Class-Discriminative Attention Maps for Vision Transformers—0
A New Weighting Scheme for Fan-beam and Circle Cone-beam CT Reconstructions—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
A new semi-supervised self-training method for lung cancer prediction—0
A dataset of over one thousand computed tomography scans of battery cells—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
An Ensemble of 2.5D ResUnet Based Models for Segmentation for Kidney and Masses—0
A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN—0
Accurate Lung Nodules Segmentation with Detailed Representation Transfer and Soft Mask Supervision—0
3D-Morphomics, Morphological Features on CT scans for lung nodule malignancy diagnosis—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
Capsules for Biomedical Image Segmentation—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
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