Skin disease / lesion detection through artificial intelligence is the growing area of study. In this work, Skin disease is identified by deep learning algorithm. Convolutional Neural Network (CNN) was used to train.

This work has implemented with 3 different pre-trained algorithms models and compared their performance.

1. Alexnet
2. VGG-16
3. ResNet-18

Below figure shows the UML diagram of Skin disease detection project using CNN algorithm

The performance shows that Alexnet and ResNet was giving good accuracy more than 90%. The demo video of the project is given below.

As like skin disease various disease can be classified with deep learning, some of the are listed with corresponding links below

Liver Disease detection using Machine learning

Breast cancer prediction source code download

Diabetes detection through machine learning Project

Lung cancer detection and classification project in python