Brain Tumor Detetction Using AI: A Deep Learning Approach using a CNN model
Year: 2025
Type: article
Abstract: Brain tumors pose a significant threat to human health, making early detection crucial for effective treatment. This study explores the application of deep learning techniques, particularly the VGG-16 model, for brain tumor classification. The proposed model processes MRI images to distinguish between tumor and non-tumor cases with high accuracy. The system is implemented using Python, TensorFlow, and OpenCV, with a web-based deployment for real-time predictions
Author: Divya Mundlik
Language: English
Subfield: Neurology
Field: Neuroscience
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4409002382