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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 901–910 of 1207 papers

TitleStatusHype
Combining multimodal information for Metal Artefact Reduction: An unsupervised deep learning framework—0
Weakly Supervised Geodesic Segmentation of Egyptian Mummy CT Scans—0
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor SegmentationCode1
Generalizability issues with deep learning models in medicine and their potential solutions: illustrated with Cone-Beam Computed Tomography (CBCT) to Computed Tomography (CT) image conversion—0
Radiologist-Level COVID-19 Detection Using CT Scans with Detail-Oriented Capsule NetworksCode0
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism—0
COVID-19 identification in chest X-ray images on flat and hierarchical classification scenarios—0
Residual Attention U-Net for Automated Multi-Class Segmentation of COVID-19 Chest CT Images—0
A Natural Language Processing Pipeline of Chinese Free-text Radiology Reports for Liver Cancer Diagnosis—0
Capsules for Biomedical Image Segmentation—0
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