Publications by authors named "Yu-kun Ye"
[Detection of multiple gene mutations in non-small-cell lung cancer by suspension microarray].
Zhonghua Yi Xue Za Zhi
December 2009
Article Synopsis
- - The study aims to create an advanced microarray for high-speed detection of key gene mutations (p53, p16, Rb, and EGFR) linked to non-small-cell lung cancer (NSCLC) for better molecular diagnosis.
- - Researchers developed specific probes for these mutations, analyzing genomic DNA from cancer and normal lung tissue samples, finding significant mutation rates in NSCLC specimens compared to normal tissues.
- - The new microarray showed high sensitivity (81.5%) and specificity (90%) in detecting mutations, indicating its potential to enhance NSCLC diagnosis and inform targeted therapies.
[Implementation and application of a digital cytopathological lung cancer diagnosing system].
Zhonghua Wai Ke Za Zhi
October 2007
Objective: To evaluate the efficacy of the digital cytopathological lung cancer diagnosing system (DCLCDS) utilizing the latest computer technologies (including reinforcement learning, image segmentation and classifier) and the cytopathological knowledge on lung cancer cells.
Methods: Separate the overlapped lung cancer cells in a slice image applying the improved deBoor-Cox B-Spline algorithm; Segment cell regions in a slice image using an image segmentation algorithm based on reinforcement learning; Ensemble different classifiers, including Decision Tree classifier, Support Vector Machine (SVM) classifier and Bayesian classifier, to achieve an accurate result of cytopathological lung cancer diagnosis.
Results: The accurate diagnosis rate for lung cancer identification of 224 images of small lung lesions aspiration biopsy from 120 cases randomly selected was 92.