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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 1161–1170 of 1207 papers

TitleStatusHype
DFS-based fast crack detection—0
Diagnosis of Coronavirus Disease 2019 (COVID-19) with Structured Latent Multi-View Representation Learning—0
Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A review—0
Discretized Gaussian Representation for Tomographic Reconstruction—0
Differentiable Score-Based Likelihoods: Learning CT Motion Compensation From Clean Images—0
DiffULD: Diffusive Universal Lesion Detection—0
Diffusion Active Learning: Towards Data-Driven Experimental Design in Computed Tomography—0
DiffusionBlend: Learning 3D Image Prior through Position-aware Diffusion Score Blending for 3D Computed Tomography Reconstruction—0
DiffusionCT: Latent Diffusion Model for CT Image Standardization—0
Diffusion Prior Regularized Iterative Reconstruction for Low-dose CT—0
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