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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 231–240 of 1207 papers

TitleStatusHype
AutoRad-Lung: A Radiomic-Guided Prompting Autoregressive Vision-Language Model for Lung Nodule Malignancy Prediction—0
Calibrated Bagging Deep Learning for Image Semantic Segmentation: A Case Study on COVID-19 Chest X-ray Image—0
AutoPET III Challenge: Tumor Lesion Segmentation using ResEnc-Model Ensemble—0
Adaptation to CT Reconstruction Kernels by Enforcing Cross-domain Feature Maps Consistency—0
Capturing Variabilities from Computed Tomography Images with Generative Adversarial Networks—0
Cardiac Segmentation on CT Images through Shape-Aware Contour Attentions—0
A method for automatic forensic facial reconstruction based on dense statistics of soft tissue thickness—0
CCTCOVID: COVID-19 Detection from Chest X-Ray Images Using Compact Convolutional Transformers—0
Charting the Path Forward: CT Image Quality Assessment -- An In-Depth Review—0
Abdominal multi-organ segmentation in CT using Swinunter—0
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