A Multi-class Brain Tumor Grading System Based On Histopathological Images Using A Hybrid Yolo And Resnet Networks

This article discusses the use of deep learning techniques in the diagnosis and grading of gliomas, a type of primary brain tumor. The proposed technique combines the YOLOv5 and ResNet50 architectures to accurately localize and classify tumors in histopathological images, and uses an extreme gradient boosting classifier for grading. This hybrid model shows promising results and advances the field of computer-aided diagnosis for brain tumors.