Breast cancer prediction using Neural Networks in python

 

Breast cancer prediction using Neural Networks

 

 PROJECT ID: PYTHON03

 

PROJECT NAME: Breast cancer prediction using Neural Networks

 

PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING

 

PROJECT ABSTRACT:

Technologies play a vital role in cancer care. Data mining approach has helped a lot in medical science due to its high efficiency in the prediction of the future health condition, and also helps in reduction of medical cost and improving the health of people and quality in real time which helps in saving lives' of people. Breast Tissue is the reason due to which breast cancer develops. It takes the second place for the most cancer diagnoses in the women after skin cancer. There are humungous data and information which gives an opportunity for analysing and understanding the process and make some researches using machine learning techniques. The main part of this paper is to create a tool for early prediction of breast cancer with the highest accuracy possible and low error rate. This was done by applying machine learning algorithms and with help of Artificial Neural Network (ANN) using Wisconsin Breast Cancer (Diagnostic) Dataset. Experimental results show that ANN gives the accuracy up to 98% with low error rate. The Experiment is conducted using Dev.-C++ software and implemented using C-language.

An intensive approach to Machine Learning, Deep Learning is inspired by the workings of the human brain and its biological neural networks. Architectures as deep neural networks, recurrent neural networks, convolutional neural networks, and deep belief networks are made of multiple layers for the data to pass through before finally producing the output. Deep Learning serves to improve AI and make many of its applications possible; it is applied to many such fields of computer vision, speech recognition, natural language processing, audio recognition, and drug design.

 

SOFTWARE REQUIREMENTS:

OS                                : Windows

Python IDE                  : Python 2.7.x and above

Language                             : Python Programming

Database                             : MYSQL

 

HARDWARE REQUIREMENTS:

 RAM                :  4GB and Higher

Processor          :  Intel i3 and above

Hard Disk         : 500GB Minimum

 

CONCLUSION

In this project in python, we learned to build a breast cancer classifier on the IDC dataset (with histology images for Invasive Ductal Carcinoma) and created the network CancerNet for the same. We used Keras to implement the same. Hope you enjoyed this Python project.

TABLE OF CONTENTS

·        Title Page      

·        Declaration

·        Certification Page

·        Dedication

·        Acknowledgements

·        Table of Contents

·        List of Tables

·        Abstract

 

CHAPTER SCHEME

CHAPTER ONE: INTRODUCTION

CHAPTER TWO: OBJECTIVES

CHAPTER THREE: PRELIMINARY SYSTEM ANALYSIS

·         Preliminary Investigation

·         Present System in Use

·         Flaws In Present System

·         Need Of New System

·         Feasibility Study

·         Project  Category

CHAPTER FOUR: SOFTWARE ENGINEERING AND PARADIGM APPLIED   

·         Modules

·         System / Module Chart

CHAPTER FIVE: SOFTWARE AND HARDWARE REQUIREMENT

CHAPTER SIX: DETAIL SYSTEM ANALYSIS

·         Data Flow Diagram

·         Number of modules and Process Logic

·         Data Structures  and Tables

·         Entity- Relationship Diagram

·         System Design

·         Form Design 

·         Source Code

·         Input Screen and Output Screen

CHAPTER SEVEN: TESTING AND VALIDATION CHECK

CHAPTER EIGHT: SYSTEM SECURITY MEASURES

CHAPTER NINE: IMPLEMENTATION, EVALUATION & MAINTENANCE

CHAPTER TEN: FUTURE SCOPE OF THE PROJECT

CHAPTER ELEVEN: SUGGESTION AND CONCLUSION

CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES