Cancer Detection using Machine Learning( Cervical, Breast and Lung Cancer)

Project Code :TCMAPY858

Objective

The main objective of the project is to detect the cancer in breast, lung and in bones using deep learning techniques.

Abstract

Deep learning is a subdiscipline of artificial intelligence that uses a machine learning technique called artificial neural networks to extract patterns and make predictions from large data sets. The increasing adoption of deep learning across healthcare domains together with the availability of highly characterised cancer datasets has accelerated research into the utility of deep learning in the analysis of the complex biology of cancer. While early results are promising, this is a rapidly evolving field with new knowledge emerging in both cancer biology and deep learning. In this review, we provide an overview of emerging deep learning techniques and how they are being applied to oncology

NOTE: Without the concern of our team, please don't submit to the college. This Abstract varies based on student requirements.

Block Diagram

Specifications

SOFTWARE FRONT END REQUIREMENTS

H/W CONFIGURATION:

Processor- I3/Intel Processor

Hard Disk- 160GB

Key Board- Standard Windows Keyboard

Mouse - Two or Three Button Mouse

Monitor - SVGA

RAM - 8GB


S/W CONFIGURATION:

Operating System:  Windows 7/8/10

Server side Script:  HTML, CSS, Bootstrap & JS

Programming Language:  Python

Libraries:  Flask, Pandas, Mysql.connector, Os, Smtplib, Numpy

IDE/Workbench:  PyCharm

Technology:  Python 3.6+

Server Deployment:  Xamp Server


Demo Video

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