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35 changes: 33 additions & 2 deletions README.md
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# NeuroVision v2.0

Brain tumor detection and segmentation from MRI scans using a two-stage deep learning pipeline — EfficientNetB4 for classification, Attention ResUNet with CBAM + ASPP for segmentation.
## Overview of website


https://github.com/user-attachments/assets/d84861b6-b750-434e-9cca-4d6990a97d5d

## Scans


https://github.com/user-attachments/assets/c1da5dd5-e7fe-4def-bbcc-c200d172ea44


A **state-of-the-art** deep learning pipeline for detecting and localizing brain tumors in MRI scans using **EfficientNetB4/ResNet-50** for classification and **Attention ResUNet v2.0** with **CBAM + ASPP** for precise segmentation.

![Python](https://img.shields.io/badge/Python-3.8+-blue?logo=python)
![TensorFlow](https://img.shields.io/badge/TensorFlow-2.x-orange?logo=tensorflow)
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![Accuracy](https://img.shields.io/badge/Accuracy-99%25+-success)
![Dice](https://img.shields.io/badge/Dice_Score-0.94+-blue)

> ⚠️ **Research use only.** This project is not intended for clinical diagnosis. It has not undergone FDA/CE validation or regulatory review.
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## Table of Contents

- [What's New in v2.0](#-whats-new-in-v20)
- [Key Features](#-key-features)
- [Model Performance](#-model-performance)
- [Architecture](#-architecture-v20)
- [Dataset](#-dataset)
- [Quick Start](#-quick-start)
- [Project Structure](#-project-structure)
- [Training Configuration](#-training-configuration)
- [API Endpoints](#-api-endpoints)
- [Tech Stack](#️-tech-stack)
- [References](#-references)
- [License](#-license)

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## Contributors

<a href="https://github.com/Ashwitha-Ramesh"><img src="https://github.com/Ashwitha-Ramesh.png" width="48px" title="Ashwitha-Ramesh" style="border-radius:50%;margin:4px;" /></a>
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