31.08.2026journal-article
Frontiers in Medicine
Performance trade-offs between dense prediction and sparse query mechanisms for brain tumor MRI detection: a comparative study of YOLOv8 and RT-DETR
Objective This study investigates optimal training strategies for YOLOv8s in brain tumor MRI detection, systematically evaluates the effects of key hyperparameters on model performance, and compares the adaptability and trade-offs between convolution-based dense prediction and Transformer-based sparse query mechanisms in medical image detection. Methods Experiments were conducted on publicly available Kaggle MRI datasets of meningioma and glioma. YOLOv8s was adopted as the baseline model, and a systematic hyperpara …