tanmay-g1/brain-tumor-detection-implementation

This repository is a brain-tumor MRI research implementation: it trains binary and four-class CNN classifiers, evaluates results, generates explainability visualizations, and offers an interactive Flask interface. The principal research workflow progresses from image preprocessing and model training to evaluation and interpretation; separate scripts implement the binary and multiclass variants. Model comparison and cross-dataset validation extend the research. The excerpts confirm dataset access and some interface behavior, but not most scripts’ runtime handoffs, so those links are omitted rather than inferred.