Publications by authors named "Yi-Bo Feng"
Article Synopsis
- - The study focused on the ability of deep learning models using CT scans to tell apart benign and malignant small pulmonary nodules (SPNs) that are 8 mm or smaller.
- - Researchers developed and tested multiple models, finding that Model 4 was the most effective in distinguishing between benign and malignant SPNs, outperforming traditional algorithms.
- - Ultimately, the study suggests that these CT-based deep learning models are reliable tools for identifying the nature of small pulmonary nodules, which can aid in better diagnosis and treatment.
A complete error calibration model with 12 independent parameters is established by analyzing the three-axis magnetometer error mechanism. The said model conforms to an ellipsoid restriction, the parameters of the ellipsoid equation are estimated, and the ellipsoid coefficient matrix is derived. However, the calibration matrix cannot be determined completely, as there are fewer ellipsoid parameters than calibration model parameters.
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