Xiarong Gong
Biographic Data
| ID | 9998125 |
|---|---|
| NAME | Xiarong Gong |
| GIVEN NAMES | Xiarong |
| FAMILY NAME | Gong |
| SIGNATURE | GONG X |
| AFFILIATIONS | Kunming University of Science and Technology |
| VERIFIED | No |
| TOTAL WORKS | 1 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 1 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2025 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data. Methods: A retrospective analysis was conducted on a dataset comprising 191 patients diagnosed with sarcopenia and 327 control patients. …
No prominent works on this page.
The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia
Objectives: This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data. Methods: A retrospective analysis was conducted on a dataset comprising 191 patients diagnosed with sarcopenia and 327 control patients. …
Bone health and osteoporosis research (1 work) · Cross-validation (1 work) · Medical Imaging and Analysis (1 work) · Nutrition and Health in Aging (1 work) · Sarcopenia (1 work) · Support vector machine (1 work) · Unsupervised learning (1 work)