SCC-YOLO: An Improved Object Detector for Assisting in Brain Tumor Diagnosis

Brain tumours may cause neurologic impairment, cognitive and mental disorders, elevated intracranial pressure and convulsions, which may be associated with a serious health hazard. The You Only Look Once (YOLO) system has been demonstrated to be highly accurate when it comes to detecting objects in medical imaging. A new SCC-YOLO structure is proposed, which combines SCConv with YOLOv9. The SCConv module improves the performance of the convolutional neural network, which improves the performance of the system. In this paper, we investigate the impact of YOLOv9 on the Br35H dataset (Brain_Tumor_Dataset) Results indicate that SCC-YOLO improved mAP50 by 0.3% on the Br35H dataset and by 0.5% on our custom dataset compared to YOLOv9. SCC-YOLO achieves state-of-the-art performance in brain tumor detection.