Skin-Disease-Detection-through-Image-Analysis

Skin.Diseases.Identification.System.mp4

🧠 Project Overview:

Detection of skin disease is one of the major problems in the medical industry and can be healed and retrieved if properly diagnosed at an early point. Literature study demonstrates that different skin disease observation techniques are being used. Convolutional neural networks (CNNs) have accomplished astonishing achievements across a variety of domains, including medical research, and an increasing interest has emerged in radiology

Identification of skin diseases is done using image analysis and Convolutional Neural Networks. It is found that by using the Convolutional neural networks we can achieve a higher accuracy rate.

💡 Project for Sale:

🤝 Contact to Buy:

Email: [email protected]
LinkedIn: snehitvaddi

What do you get:

• Code for CNN Training, & testing
• Application code(Flask, HTML, CSS, Js)
• Complete Documentation
• PPT

Data:

• Skin Cancer ISIC: https://www.kaggle.com/nodoubttome/skin-cancer9-classesisic

Technologies Used:

• Html , Css , JavaScript , Bootstrap , Flask

Library In Python:

• Keras
• Numpy
• matplotlib
• scikit-learn