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Free Download SKIN DISEASE DETECTION Project in Python with source code

Python project    2021-07-01


Python, PHP, HTML, VB.Net 
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SKIN DISEASE DETECTION project is a web application which is developed in Python platform. This Python project with tutorial and guide for developing a code. SKIN DISEASE DETECTION is a open source you can Download zip and edit as per you need. If you want more latest Python projects here. This is simple and basic level small project for learning purpose. Also you can modified this system as per your requriments and develop a perfect advance level project. Zip file containing the source code that can be extracted and then imported into anaconda. This Source code for BE, BTech, MCA, BCA, Engineering, Bs.CS, IT, Software Engineering final year students can submit in college. This script developed by NAYANA R. This web application 100% working smooth without any bug. It is developed using python and Database tensorflow. This software code helpful in academic projects for final year students. We have a great collection of Python projects.

Document and Reports information

This doucment file contains project Synopsis, Reports, and various diagrams. Also abstract pdf file inside zip so that document link below the page. Class Diagrams, Use Case Diagrams, Entity–relationship(ER) Diagrams, Data flow diagram(DFD), Sequence diagram and software requirements specification (SRS) in report file. Complete ready made open source code free of cost download. You can find Top Downloaded Python projects here.

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About Project

project ID :  6011
Developer Name :  NAYANA R
Upload Date :  2021-07-01
project Platform :  Python
Programming Language :  python
IDE Tool :  anaconda
project Earning :  NAYANA R Earn Rs.100 from this project.
Database :  tensorflow
project Type :  web Application
No of project Download :  83
project Total View :  821
Today Trends :  5
Current Month Trends :  182
Last Month Trends :  157
project Source Code Link :   Download Here (3.9591MB)
project Report Link :  Download here  (3.9591MB)

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Features of the Project

In this paper, we present an image to diagnose multiple skin diseases using statistical parameter analysis. Statistical analysis is concerned with the analysis of random data. This system is combomodel which is to be used to diagnose multiple skin diseases at a time. The target skin diseases are Melanoma, Nevus. The disease diagnosis and classification is built on statistical parameter analysis. Statistical parameters includes: Entropy, Texture index, Standard deviation, Correlation fact Depending on standard range of parameters skin disease is going to be diagnosed and classified.

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