Brains Tumor Detection with Deep learning

Human health is a crucial matter and also its treatment. Brain Tumor is one of the dangerous illnesses that require special care and treatment. Neurologists play a huge role in curing patients by analyzing MRI scans. Analyzing and understanding the patient's situation is a challenge for the doctors,

Project Title

Brains Tumor Detection with Deep learning

Project Area of Specialization

Artificial Intelligence

Project Summary

Human health is a crucial matter and also its treatment. Brain Tumor is one of the dangerous illnesses that require special care and treatment. Neurologists play a huge role in curing patients by analyzing MRI scans. Analyzing and understanding the patient's situation is a challenge for the doctors, which requires more time for better and accurate results. 

Therefore, I am proposing a modern day solution to bring efficiency in a Neurologist’s work life. A software that will efficiently detect Brain Tumor in a patient with a very short amount of time. This approach can bring ease to doctors to fasten their work. It can change the whole workflow for Neurologist’s by detecting the tumor. The software will be trained by Deep Learning Algorithm. The Algorithm that I will use is Convolution Neural Network (CNN) with forward propagation technique to achieve higher accurate results. 

The project will have two portions of Front-end and Back-end. The Frontend of the program will be written in Python with a frontend library named tkinter. Tkinter will allow us to create interactive front-end designs for the applications. The back-end will also be written in Python including 2 sub-portion. One half of the code will fetch the image data and adjust it into the code. The other half will be used to train and test the model with the real time output on Front-end.

Project Objectives

The project is focused to:

• Building software to detect Brain Tumor.

• Automate tumor segmentation process. 

• Bring ease to Neurologist’s workflow.

• Accelerate report generation for Patients.

Project Implementation Method

To achieve best results I'll will be using Convolution Neural Network (CNN) with forward Propagation. There will be 2 parts of the project i.e. Front-end and Back-end. The Front-end will be designed in Python3 with Tkinter UI designing Library. Back-end will be written in Python3 as well. Back-end will process the given the dataset to generate Train and test results. The training and testing results will be shown in realtime in the software. 

Benefits of the Project

The software will help the hospitals by speeding up their work by automating the detection of Brain tumor. Patients will be assists by the doctors easily. Neurologists won't have to spend more time to analyze and generate the report for the patient. The computer will automatically detect and label the report according to the patient. 

Technical Details of Final Deliverable

The project will deliver the following functionalities positively

• Brain Tumor Detection Software.
• Realtime Accuracy results. 
• Statistics(Precision, Recall, R2 Score, Accuracy) .

Final Deliverable of the Project

Software System

Core Industry

Medical

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com