diff --git a/README.md b/README.md index 99ea08a..be188f1 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,17 @@ # 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) @@ -9,7 +20,25 @@ Brain tumor detection and segmentation from MRI scans using a two-stage deep lea ![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. +--- +--- + +## 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) + +--- --- @@ -402,6 +431,8 @@ image_ids, masks, has_mask = prediction(test_df, model, model_seg, use_tta=False --- + + ## Contributors