Classification of Liver Diseases using Neural Networks

Project Title

Classification of Liver Diseases using Neural Networks

Project Area of Specialization NeuroTechProject Summary

Our project classify the liver disease using neural network. It has a probe which contain vibration motors and ultrasonic sensor. The ultrasonic sensor tracks the shear waves of vibrator motors and echo back. The echo back wave is then converted to elasticity through formula, and then this value is feed to the trained network to classify the elasticity value and give identification of which liver disease it is.

Project Objectives

The main objective of our project are as follows:

• Classification of liver disease at its early stage.
• Non-invasive method
• Inexpensive test results.

Project Implementation Method

Project implementation method include following steps:

1. Testing of Ultrasonic sensors and flat vibrators motors.
2. Integration of both sensors using arduino.
3. Testing of integrated device.
4. Training of neural network.
5. Integration of neural network with device to take live values and classify the result.

Benefits of the Project

The benefits of our project are :

1. Give the result quickly.
2. Non invasive method .
3. No needles and syringes are requird.

Technical Details of Final Deliverable

Technical details of final deliverables include following:

1. Final training of neural network and beginning of the testing phase.
2. Testing the first module and crosschecking the values obtained from the scanner with the experimental values.
3. Clinical tests to check whether live testing is possible hassle free.

Final Deliverable of the Project HW/SW integrated systemType of Industry Medical Technologies NeuroTechSustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	38274
Ultrasonic sensor JSN-SR04T	Equipment	1	1200	1200
Flat coin vibrator 1027	Equipment	5	200	1000
Arduino+cable	Equipment	1	2800	2800
TMS320C6748 DSP Development Kit (LCDK)	Equipment	1	30000	30000
Others	Miscellaneous	1	3274	3274