Technical Research on Skin Deficiencies using Medical Image Processing Applications
R. Kishore Kanna1, Prasath Alias Surendher2, T. Manoj Prasath3, F. Emerson Solomon4
1R. Kishore Kanna, Deptmant of Biomedical Engg, BIHER, Chennai, Tamil Nadu, India.
2Prasath Alias Surendher, Deptmant of Biomedical Engg, BIHER, Chennai, Tamil Nadu, India.
3T. Manoj Prasath, Deptmant of Biomedical Engg ,BIHER, Chennai, Tamil Nadu, India.
4Dr. F. Emerson Solomon, Deptmant of Biomedical Engg, BIHER, Chennai, Tamil Nadu, India
Manuscript received on 09 August 2019 | Revised Manuscript received on 16 August 2019 | Manuscript Published on 31 August 2019 | PP: 338-339 | Volume-8 Issue-9S2 August 2019 | Retrieval Number: I10720789S219/19©BEIESP DOI: 10.35940/ijitee.I1072.0789S219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Dermatology is a noteworthy field of prescription which manages the investigation and treatment of skin issue. Regardless of being normal, deciding a specific skin issue is hard for ordinary individuals and requires expansive learning and skill in the region. Some skin malady may cause serious medical issues while others blur away in days normally. Henceforth, acknowledgment of skin rashes and other issue at the most punctual is pivotal. This venture concerns the advancement of a portable application to identify the sort of skin issue. The application works by accepting pictures of influenced skin as client input and predicts the sort of confusion. The application utilizes a blend of picture preparing, neural systems, and AI to process, learn and anticipate skin issue with more prominent precision
Keywords: Machine Learning, Neural networks, Skin diseases, Android development.
Scope of the Article: Artificial Intelligence and Machine Learning