Breast Cancer Prediction Using Deep learning and machine learning techniques through targeted magnetic nano-particles and ultra-sensitive magnetic field sensors

Breast cancer is one of the leading causes of death among women. According to the WHO report in 2013, ?It is estimated that over 508,000 women died worldwide in 2011 due to breast cancer? Breast cancer is one of the leading causes of death among women. Accordin

Project Title

Breast Cancer Prediction Using Deep learning and machine learning techniques through targeted magnetic nano-particles and ultra-sensitive magnetic field sensors

Project Area of Specialization

Software Engineering

Project Summary

Breast cancer is one of the leading causes of death among women. According to the WHO report in 2013, “It is estimated that over 508,000 women died worldwide in 2011 due to breast cancer” Breast cancer is one of the leading causes of death among women. According to the WHO report in 2013, “It is estimated that over 508,000 women died worldwide in 2011 due to breast cancer”. However cancer can be cured prevented in primary stages, still, there is a large number of women who diagnosed with cancer too late.

The objective of our research is to propose a feature selection algorithm that can find the smallest subset of features that can guarantee a highly accurate classification of breast cancer as either benign or malignant. We will also compare different state-of-the-art data mining and machine learning algorithms to evaluate which one will show a high accuracy rate for breast cancer prediction.

We are going to predict three stages of breast cancer on the basis of mammogram images and will integrate the application with the mammography machine and ultra-sensitive sensor that gives the required data and will help in predicting different stages of Cancer.

An android application is also available and provides different features like set appointment with near by doctor of your own choice, donor can donate funds to the breast cancer funding organizations and can schedule their medicine and diet plan.

Project Objectives

• To design a system that will predict three stages of breast cancer on the basis of mamogram images.
• Develop an application which provides different featurrres of near by doctor appointment, medicine schedule, donation to the Pink Ribbon, check about their breast cancer stage.

Project Implementation Method

The project has been implemented using MATLAB for the prediction of breast cancer on the basis of breast cancer images and an android application for the users. Python for applying different classifiers of Machine learning and deep learning on two datasets: Wisconsin Breast Cancer Dataset and MAMMOGRAPHY images dataset.

Benefits of the Project

It'll help the breast cancer patients to check whether they are suffering through cancer or not and will help the women to schedule an appointment with their nearby doctor on their own choices.

It'll also help the women to schedule their diet plan and medicine according to the doctor's prescription.

It'll help the donors who want to donate for the breast cancer patients linked with different breast cancer funding organizations

Technical Details of Final Deliverable

Hardware is required for taking the memography images and the ultra-sensitive sensors are required to extract some special features like texture, blood circulation, temperature, etc. 

An android phone is required to run the android application for the user.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

IT

Core Technology

Artificial Intelligence(AI)

Other Technologies

Artificial Intelligence(AI)

Sustainable Development Goals

Good Health and Well-Being for People, Decent Work and Economic Growth

Required Resources

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