Welcome to NeuroScan, an innovative project leveraging advanced image processing techniques for the accurate detection and classification of brain tumors. The project focuses on classifying brain MRI images into four distinct categories: glioma, meningioma, no tumor, and pituitary. This comprehensive solution utilizes cutting-edge algorithms, with EfficientNetV2B1 emerging as the top performer, achieving an impressive accuracy of ~96%. NeuroScan enhances medical diagnostics, providing a reliable tool for identifying and categorizing brain tumors from medical imaging data. Explore the documentation and code to understand, implement, and contribute to this impactful project at the intersection of healthcare and technology.
👋 Hi there! I'm Mainak Mukherjee, a passionate and ambitious B.Tech student with a strong drive to become a Data Scientist and Data Analyst. Welcome to my data-driven journey!
- numpy
- sklearn
- matplotlib
- seaborn
- tensorflow
- keras
- os
- random
If you have any feedback, please reach out to me at [email protected]