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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 371–380 of 1207 papers

TitleStatusHype
Why does my medical AI look at pictures of birds? Exploring the efficacy of transfer learning across domain boundariesCode0
DoseDiff: Distance-aware Diffusion Model for Dose Prediction in RadiotherapyCode1
Multi-View Attention Learning for Residual Disease Prediction of Ovarian Cancer—0
MEPNet: A Model-Driven Equivariant Proximal Network for Joint Sparse-View Reconstruction and Metal Artifact Reduction in CT ImagesCode1
Concurrent ischemic lesion age estimation and segmentation of CT brain using a Transformer-based network—0
The STOIC2021 COVID-19 AI challenge: applying reusable training methodologies to private dataCode1
RetinexFlow for CT metal artifact reduction—0
Accurate Airway Tree Segmentation in CT Scans via Anatomy-aware Multi-class Segmentation and Topology-guided Iterative Learning—0
Online learning for X-ray, CT or MRI—0
2DeteCT -- A large 2D expandable, trainable, experimental Computed Tomography dataset for machine learningCode1
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