Machine learning driven Glioma classification: systematic review, bibliometric insights and semantic exploration of YOLO-based detection frameworks
The Glioma binary classification has become a significant field of research because of its clinical application in the diagnosis and the treatment planning. The recent advances in machine learning (ML) and deep learning (DL) allowed analyzing medical images automatically, specifically magnetic resonance imaging (MRI)....