Paper Key : IRJ************265
Author: Samiksha Gedam,Shreyash Thorat,Udaysinh Rode
Date Published: 14 Apr 2024
Abstract
The most critical health issue on the planet is skin infection. One of the challenging ranges to predict is human skin. There are various kinds of skin conditions. A few are chronic conditions, while others are allergic. Accurately distinguishing and treating a skin issue is a time-consuming process. Diverse illnesses have different indications. The areas of cosmetology focus on the skin, hair, and nails. Every individual on the planet stresses about how they see and feel at some point. The symptoms and seriousness of skin disorders can change significantly. They might be either permanent or transitory, unpleasant or not. There is no age gather that is more vulnerable to skin conditions. Skin illnesses impact individuals of all ages, including newborn children and the elderly, in one way or another. Modern society is experiencing an increase in technical breakthroughs that are most beneficial for improving our quality of life. Recent years have seen a significant increase in the use of electronic medical records and diagnostic imaging, combined with machine learning algorithms finding considerable success in image identification jobs. The authors of the research also emphasize that deep learning techniques, particularly convolutional networks, have rapidly become the methodology of choice for medical picture analysis.