• Md. IRSHAD HUSSAIN B
• HEMALATHA B
• SHOBHA H
• SUPRIYA K U
• SYEDA UZMA

The people health more than any other diseases. Skin diseases are mostly caused by fungal infection, bacteria, allergy, or viruses, etc. The lasers advancement and Photonics based medical technology is used in diagnosis of the skin diseases quickly and accurately. The medical equipment for such diagnosis is limited and most expensive. So, Deep learning techniques helps in detection of skin disease at an initial stage. The feature extraction plays a key role in classification of skin diseases. The usage of Deep Learning algorithms has reduced the need for human labour, such as manual feature extraction and data reconstruction for classification purpose. A Dataset of 10015 images has been taken for the Classification of Skin diseases. They include Melanoma, Nevus, and Sebborheic Keratosis. By using CNN algorithm, 92% accuracy is achieved in classification of skin disease

Melanoma, Nevus, Sebborheic Keratosis, CNN and Deep Learning

"Melanoma Disease Detection and classiifcation using deep learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 7, page no.h682-h687, July-2023, Available :http://www.jetir.org/papers/JETIR2307780.pdf

"Melanoma Disease Detection and classiifcation using deep learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 7, page no. pph682-h687, July-2023, Available at : http://www.jetir.org/papers/JETIR2307780.pdf