Skin disease prediction
Abstract & Details
Research Area
Computer Engineering
Keywords
deep learning
neural network
mobile platform
Convolutional Neural Network (CNN)
MobileNet
Abstract
This method is mobile based and hence very accessible even in remote areas and it is completely noninvasive to patient's skin. The patient provides an image of the infected area of the skin as an input to the prototype. Image processing techniques are performed on this image and the detected disease is displayed at the output. The proposed system is highly beneficial in rural areas where access to dermatologists is limited
License
This work is licensed under a Creative
Commons
Attribution-ShareAlike 4.0 International License.
Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Shinde Hritik Prashant | Late G. N. Sapkal College of Engineering |
| 2 | Jagtap Tusharkumar Kailas | Late G. N. Sapkal College of Engineering |
| 3 | Gaware Omkar Vinayak | Late G. N. Sapkal College of Engineering |
| 4 | Maurya Sandeep Ramnath | Late G. N. Sapkal College of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Prashant, Shinde Hritik, Kailas, Jagtap Tusharkumar, Vinayak, Gaware Omkar, & Ramnath, Maurya Sandeep (2021). Skin disease prediction. International Journal of Advance Research and Innovative Ideas In Education, 7(3), 2287-2295.
MLA Style
Prashant, Shinde Hritik, et al. "Skin disease prediction." International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, 2021, pp. 2287-2295.
IEEE Style
Shinde Hritik Prashant, Jagtap Tusharkumar Kailas, Gaware Omkar Vinayak, and Maurya Sandeep Ramnath, "Skin disease prediction," International Journal of Advance Research and Innovative Ideas In Education, vol. 7, no. 3, pp. 2287-2295, 2021.
Vancouver Style
Prashant Shinde Hritik, Kailas Jagtap Tusharkumar, Vinayak Gaware Omkar, Ramnath Maurya Sandeep. Skin disease prediction. International Journal of Advance Research and Innovative Ideas In Education. 2021;7(3):2287-2295.
Harvard Style
Prashant, Shinde Hritik, Kailas, Jagtap Tusharkumar, Vinayak, Gaware Omkar, & Ramnath, Maurya Sandeep (2021) 'Skin disease prediction', International Journal of Advance Research and Innovative Ideas In Education, 7(3), pp. 2287-2295.
Chicago Style
Prashant, Shinde Hritik, et al. "Skin disease prediction." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2287-2295.
Turabian Style
Prashant, Shinde Hritik, et al. "Skin disease prediction." International Journal of Advance Research and Innovative Ideas In Education 7, no. 3 (2021): 2287-2295.
Related Research
Comprehensive Review of Existing Chatbot Systems for Career Assistance, Resume Support, and ATS-Aware Guidance
PDF Unavailable
Development of an AI-Powered Multimodal Web Assistant with Intelligent Resume Building and ATS Enhancement
PDF Unavailable
A Deep Learning-Based Framework for Mood-Oriented Music Recommendation Using Facial Expression Analysis
PDF Unavailable
Survey On : Intelligent Payroll and Human Resource Management Systems: A Systematic Review of Automation, Security, and Analytics
PDF Unavailable
Civic Engagement & Empowerment Platform
PDF Unavailable
Recent Developments in Microneedle Technology and Its Diverse Biomedical Applications
PDF Unavailable
RAG System Development with Pydantic AI ChromaDB & Groq
PDF Unavailable
Machine Learning Based Early Stage Diabetes Detection System
PDF Unavailable
A Survey on Skillsense:AI Career Analyzer App
PDF Unavailable
Employee Performance Portal
PDF Unavailable