Introduction

This is a front-end system for brain tumor detection based on YOLOv11 model.

🔧 Features

• 📁 Multiple File Upload

  Support uploading and processing multiple medical images in one session.

• 🧠 Brain Tumor Detection Visualization

  Automatically highlights predicted tumor regions with bounding boxes, showing the tumor type and confidence score. Users can zoom in on images for detailed inspection.

• ⚙️ Customizable Detection Parameters

  Allows users to set the confidence threshold and Intersection over Union (IoU) threshold to adjust the sensitivity and precision of the detection results.

• 🕒 Detection History Management

  Keeps a detailed log of all previous detection results. Users can browse, export, or delete historical records as needed.

• 🌐 Multilingual Interface (Chinese & English)

  Provides an easy switch between Chinese and English interfaces to accommodate different language preferences.

• 🎨 Theme Switching Support

  Offers light and dark mode options to enhance visual comfort based on user preference.

Demo Video

demo_video.mp4

Model Performance

Model	$mAP50$	$AP_{No\ tumor}50$	$AP_{glioma}50$	$AP_{meningioma}50$	$AP_{pituitary}50$	$AP_{space-occupying\ lesion}50$
Baseline	65.0%	98%​	53%​	94%​	80%​	0%​
Ours	67.3%​	97.5%​	68.7%​	92.7%	77.5%​	0%​

Project Structure

Brain-Tumor-Detection/
|
├── static/
|   ├── css/
|   |   ├── auth.css
|   |   ├── sidebar.css
|   |   └── styles.css
|   |
|   ├── images/
|   |   └── icons/
|   |
|   ├── js/
|   |   ├── app.js
|   |   ├── i18n.js
|   |   ├── language.js
|   |   ├── theme.js
|   |   └── verify.js 
|   |
|   └── results/  
|
├── templates/
|   ├── index.html
|   ├── login.html
|   └── register.html
|
├── app.py
├── archive.yaml
├── yolo.py
└── yolo11l.pt