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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 521–530 of 1207 papers

TitleStatusHype
Covid-19 classification with deep neural network and belief functions—0
COVID-19 Chest CT Image Segmentation -- A Deep Convolutional Neural Network Solution—0
A Fully-Automated Pipeline for Detection and Segmentation of Liver Lesions and Pathological Lymph Nodes—0
AC-IND: Sparse CT reconstruction based on attenuation coefficient estimation and implicit neural distribution—0
Cov3d: Detection of the presence and severity of COVID-19 from CT scans using 3D ResNets—0
Counterfactuals and Uncertainty-Based Explainable Paradigm for the Automated Detection and Segmentation of Renal Cysts in Computed Tomography Images: A Multi-Center Study—0
A statistical method for crack detection in 3D concrete images—0
Cost-Sensitive Active Learning for Intracranial Hemorrhage Detection—0
COSST: Multi-organ Segmentation with Partially Labeled Datasets Using Comprehensive Supervisions and Self-training—0
Assessment of texture measures susceptibility to noise in conventional and contrast enhanced computed tomography lung tumour images—0
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