Intelligent Model for Brain Tumor Identification Using Deep Learning
ByResearch Team
Abstract
This research introduces an intelligent deep learning model for brain tumor identification and classification. The proposed hierarchical deep learning approach achieves high precision in classifying brain tumors into glioma, meningioma, pituitary, and no-tumor categories, demonstrating superior performance compared to traditional methods.
Introduction
Accurate and timely brain tumor identification is crucial for effective treatment planning and patient outcomes. This study presents a comprehensive deep learning framework that assists medical professionals in quickly and accurately identifying brain tumors from medical imaging data, potentially reducing diagnostic time and improving treatment efficiency.
