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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 931–940 of 1207 papers

TitleStatusHype
Visualization of fully connected layer weights in deep learning CT reconstruction—0
Liver Segmentation in Abdominal CT Images via Auto-Context Neural Network and Self-Supervised Contour Attention—0
Generative-based Airway and Vessel Morphology Quantification on Chest CT Images—0
Machine-Learning-Based Multiple Abnormality Prediction with Large-Scale Chest Computed Tomography VolumesCode1
A Novel and Efficient Tumor Detection Framework for Pancreatic Cancer via CT Images—0
2.75D: Boosting learning by representing 3D Medical imaging to 2D features for small dataCode0
Outlier Guided Optimization of Abdominal Segmentation—0
Validation and Optimization of Multi-Organ Segmentation on Clinical Imaging Archives—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
Multimodal fusion of imaging and genomics for lung cancer recurrence predictionCode1
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