International Journal on Science and Technology

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SKIN DISEASE DETECTION SYSTEM USING IMAGE PROCESSING AND DEEP LEARNING

Author(s) VEDANT PAHUNE, Dr.Dnyande Hire
Country India
Abstract Skin diseases are very common and affect people of all ages. These diseases happen more often as compared to other types of illnesses. There are a lot of reasons for this, such as Fungal infections, bacteria, allergies, and even viruses. Thanks to new lasers & special medical technology, we can now find skin diseases faster than before. But here's the thing: these tests can be super costly and are not always available. That’s why dermatology needs an automated screening system. This system can use image processing techniques to help. Image processing is great because it helps us figure out what skin disease someone has. Many computer vision techniques look for skin problems, too. In places like Saudi Arabia, with its hot deserts, skin diseases are pretty common. So, our research aims to help with this issue. We’ve come up with a method that uses image processing to detect skin diseases! It starts by taking a digital picture of the affected skin area. Then we analyse that image to figure out what type of disease it is. Our method is super simple & quick! The best part? You don’t need fancy, expensive tools—just a camera and a computer. This method uses colour images. First, we resize the image to pull out features using something called a pre-trained convolutional neural network that sounds complicated, but it's really just tech that helps us. After that, we use Multiclass SVM to classify those features
Field Medical / Pharmacy
Published In Volume 16, Issue 2, April-June 2025
Published On 2025-06-05
DOI https://doi.org/10.71097/IJSAT.v16.i2.5828
Short DOI https://doi.org/g9pz7x
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