SKIN DISEASE DETECTOR USING TENSORFLOW

Abstract

Every person must have felt a skin problem. Skin problems can affect anyone of any age range. Infants, children, adults, and even parents can be affected by this health problem without exception. In fact, skin diseases can affect people who are very clean body. Skin diseases is a condition when the outer layer of the body experiences problems, either irritation or inflammation. This condition can cause itchy, scaly, tender, reddened skin. Usually viral, bacterial, fungal, and parasitic infections are the most common causes of skin diseases. Tinea versicolor, ringworm, and scabies are among the many skin diseases that attack Indonesian people. Some diseases are temporary, while others can be permanent and continue to recur. Skin diseases have a serious impact on people’s life. Current research proposes an efficient approach to identify singular type of skin diseases. It is necessary to develop automatic methods in order to increase the accuracy of diagnosis for multi-type skin diseases. In this thesis, five type skin diseases such as Acne, Chicken Pox, Eczema, Psoriasis, and Vitiligo skin disease could be identified using Tensorflow.