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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 226–250 of 1207 papers

TitleStatusHype
Breast Cancer Induced Bone Osteolysis Prediction Using Temporal Variational Auto-Encoders—0
Bridged Semantic Alignment for Zero-shot 3D Medical Image Diagnosis—0
Bronchoscopic video synchronization for interactive multimodal inspection of bronchial lesions—0
Cadmium Zinc Telluride (CZT) photon counting detector Characterisation for soft tissue imaging—0
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
CHS-Net: A Deep learning approach for hierarchical segmentation of COVID-19 infected CT images—0
CIDI-Lung-Seg: A Single-Click Annotation Tool for Automatic Delineation of Lungs from CT Scans—0
Cine Cardiac MRI Motion Artifact Reduction Using a Recurrent Neural Network—0
Abdominal multi-organ segmentation in CT using Swinunter—0
ClamNet: Using contrastive learning with variable depth Unets for medical image segmentation—0
Class-Discriminative Attention Maps for Vision Transformers—0
Classical and learned MR to pseudo-CT mappings for accurate transcranial ultrasound simulation—0
A Deep Learning Approach to Automate High-Resolution Blood Vessel Reconstruction on Computerized Tomography Images With or Without the Use of Contrast Agent—0
Classification of COVID-19 in Chest CT Images using Convolutional Support Vector Machines—0
Classification of COVID-19 via Homology of CT-SCAN—0
Conformal Risk Control for Semantic Uncertainty Quantification in Computed Tomography—0
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