6 Papers
9 Citations
Yan Xu is an academic researcher from Capital Medical University. The author has contributed to research in topics: Medicine & Iterative reconstruction. The author has an hindex of 5, co-authored 6 publications.
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Papers
Neural Network Ensemble-Based Computer-Aided Diagnosis for Differentiation of Lung Nodules on CT Images: Clinical Evaluation
TL;DR: The diagnostic performance of the neural network ensemble-based computer-aided diagnosis (CAD) scheme is similar to that of senior radiologists for classifying lung nodules on thin-section CT and the CAD scheme has certain advantages in diagnosing small lung nodule.
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Impact of the adaptive statistical iterative reconstruction technique on image quality in ultra-low-dose CT.
TL;DR: The Veo reconstruction algorithms very effectively reduced image noise compared with the conventional FBP reconstructions and showed that GGOs can be detected and quantified with an acceptable accuracy.
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The development and evaluation of a computerized diagnosis scheme for pneumoconiosis on digital chest radiographs
TL;DR: The integrated SVM model built on the selected feature set showed the highest diagnostic performance among all individual SVM models and has good potential in diagnosing pneumoconiosis based on digital chest radiographs.
Support Vector Machine Model for Diagnosing Pneumoconiosis Based on Wavelet Texture Features of Digital Chest Radiographs
TL;DR: The SVM model with a polynomial kernel built on the selected feature set showed the highest diagnostic performance among all tested models when using either all the wavelet texture features or the selected ones.
Effect of iterative reconstruction techniques on image quality in low radiation dose chest CT: a phantom study
TL;DR: Three IR algorithms are able to reduce the image noise and improve the image quality in LDCT in the same radiation dose, and the LDCT images quality reconstructed with MBIR algorithms is better than that of other IR algorithms.