Publications by authors named "Qize Lv"
Unveiling Thymoma Typing Through Hyperspectral Imaging and Deep Learning.
J Biophotonics
November 2024
Article Synopsis
- Thymoma, a rare tumor from thymic epithelial cells, is hard to diagnose using traditional methods, resulting in high false negatives and lengthy diagnosis times.
- This study proposes a new classification method combining hyperspectral imaging and deep learning, capturing and processing thymoma images to enhance diagnostic accuracy.
- The developed model shows a 95% average accuracy in classifying thymoma, making it a promising tool for automated diagnosis and improving data use and feature learning.
Accurate classification of glomerular diseases by hyperspectral imaging and transformer.
Comput Methods Programs Biomed
September 2024
Background And Objective: In renal disease research, precise glomerular disease diagnosis is crucial for treatment and prognosis. Currently reliant on invasive biopsies, this method bears risks and pathologist-dependent variability, yielding inconsistent results. There is a pressing need for innovative diagnostic tools that enhance traditional methods, streamline processes, and ensure accurate and consistent disease detection.
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