Abstract
Abstract: Skin diseases are prevalent among humans, affecting millions worldwide. These conditions, often harboring hidden risks, not only erode self-confidence and induce psychological distress but also elevate the likelihood of developing skin cancer. Experts and high-level instruments are required to diagnose the skin diseases due to the non-availability of visual resolution in skin disease images. The framework includes machine learning techniques such as CNN architecture and three predefined models called Efficient Net, ResNet, and InceptionV
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Schedule a callMore From: International Journal for Research in Applied Science and Engineering Technology
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