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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 176–200 of 1207 papers

TitleStatusHype
A dataset of over one thousand computed tomography scans of battery cells—0
A New 2.5D Representation for Lymph Node Detection using Random Sets of Deep Convolutional Neural Network Observations—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
CAE-Transformer: Transformer-based Model to Predict Invasiveness of Lung Adenocarcinoma Subsolid Nodules from Non-thin Section 3D CT Scans—0
Adaptive Multi-resolution Hash-Encoding Framework for INR-based Dental CBCT Reconstruction with Truncated FOV—0
An End-to-end Framework For Integrated Pulmonary Nodule Detection and False Positive Reduction—0
Adaptive GLCM sampling for transformer-based COVID-19 detection on CT—0
An Empirical Analysis for Zero-Shot Multi-Label Classification on COVID-19 CT Scans and Uncurated Reports—0
3D helical CT Reconstruction with a Memory Efficient Learned Primal-Dual Architecture—0
An automatic deep learning approach for coronary artery calcium segmentation—0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
Adaptive Feature Selection Guided Deep Forest for COVID-19 Classification with Chest CT—0
An Automated Approach for Timely Diagnosis and Prognosis of Coronavirus Disease—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
Accelerated Optimization of Implicit Neural Representations for CT Reconstruction—0
Invasiveness Prediction of Pulmonary Adenocarcinomas Using Deep Feature Fusion Networks—0
CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation—0
A Cascaded Convolutional Neural Network for X-ray Low-dose CT Image Denoising—0
Anatomical labeling of brain CT scan anomalies using multi-context nearest neighbor relation networks—0
3D Convolutional Encoder-Decoder Network for Low-Dose CT via Transfer Learning from a 2D Trained Network—0
Anatomical Data Augmentation For CNN based Pixel-wise Classification—0
An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms—0
Adaptive Compressed Tomography Sensing—0
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