Publications by authors named "Ahmed Naser Al-Zurfi"
Article Synopsis
- The preoperative diagnosis of brain tumors is crucial for treatment planning, and advancements in AI and machine learning are improving diagnosis accuracy, particularly for glioma grading using MRI images.
- The authors proposed a new classification system, the Ensemble Learning based on Adaptive Power Mean Combiner (EL-APMC), which integrates novel MRI features and has outperformed 21 other machine learning models, achieving 88.73% accuracy and a 93.12% F1-score on the BRATS2015 dataset.
- The EL-APMC algorithm is especially effective for small medical datasets, offering a reliable and accurate method for glioma classification with statistically significant results compared to existing models.
