AI-Powered Fracture Detection in Medical Images Using Hybrid Learning Architectures
Objective
The objective of this project is to build an AI-based system using hybrid learning to accurately detect bone fractures from medical images, ensuring faster and more reliable diagnosis for improved patient care.
Abstract
This project presents an AI-powered fracture detection system using Raspberry Pi and hybrid learning architectures for medical image analysis. The system processes bone X-ray images and automatically detects fractures using a combination of deep learning and machine learning techniques. The analyzed result is displayed on an LCD screen, indicating whether the bone is fractured or normal. The proposed system provides a low-cost, portable, and intelligent solution for rapid fracture screening, helping healthcare professionals improve diagnostic accuracy and reduce diagnosis time.
Keywords: Raspberry Pi, Fracture Detection, Medical Imaging, Hybrid Learning, Deep Learning.
NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.
Block Diagram
Specifications
Hardware components:
- Raspberry pi
- SD Card
- LCD
- USB Web camera
- Connectors-10.
Software requirements:
- Raspbian OS
- Python IDLE
Learning Outcomes
- Raspberry pi pin diagram and architecture
- How to install Raspberrypi / setup software
- Setting up and installation procedure for Raspberrypi
- Introduction to Raspberrypi environment / development setup
- Basic programming in Raspberrypi (Python)
- Basics of Embedded programming using Raspberrypi
- Basics of IoT platforms
- Working of power supply
- About Project Development Life Cycle:
- Planning and Requirement Gathering (software, tools, hardware components, etc.)
- Schematic preparation
- Code development and debugging
- Hardware development and debugging
- Development of the project and output testing
- Practical exposure to:
- Hardware and software tools
- Solution providing for real-time problems
- Working with team/individual
- Work on creative ideas
- Skills developed:
- Project development skills
- Problem analyzing skills
- Problem solving skills
- Creativity and imaginative skills
- Programming skills
- Deployment
- Testing skills
- Debugging skills
- Project presentation skills
- Thesis writing skills
Paper Publishing
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6-2-85/B, Old Maternity Hospital Road, Thyagaraja Nagar, Tirupati, Andhra Pradesh – 517501
+91 9030333433
+91 9393939065
0877-2261612
Disclaimer - Takeoff Edu Group Projects are not associated or affiliated with IEEE in any way. The IEEE Projects mentioned here are mentioned in the context of student projects, whose ideas are derived from IEEE publications, not projects of or by IEEE.
