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Skin Disease Detection and Classification Using Deep Learning: An Approach to Automate the System of Dermographism for Society

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Artificial Intelligence for Societal Issues

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 231))

Abstract

Skin disease is more normal than different sicknesses. Skin disease can be much inherited disease which directly or indirectly affects almost every age group we present an audit on profound learning strategies and their applications in skin infection conclusion. We first present a short prologue to skin infections and picture acquisition techniques in dermatology, and rundown a few freely accessible skin datasets for preparing and testing calculations. The fundamental thought of this undertaking is to work on the exactness of indicative frameworks by utilizing Image Processing and grouping methods. In the proposed framework, a picture caught on camera is taken as information. In this chapter, we propose an enormous scope; It contains 5660 clinical pictures, covering several sorts of skin infections. Each picture in this dataset is named by proficient specialists. IN this paper we have taken boundary of clinical traits which encoded in calculation and furthermore utilizing PCA we have optimitized the part factor of neural calculation. Thus we are employing deep learning to automate the function of skin disease detection and classification as it is considered boon of artificial intelligence and can benefit medical field on great level.

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Authors and Affiliations

  1. Department of Information Technology, Amity University Jharkhand, Ranchi, India

    Anurag Sinha

  2. Acsmch M.G.R. Deemed to be University, Department of M.B.B.S., Vellappanchavdi, Chennai, India

    Sarvjeet Kumar Singh

  3. Fast Nukes Cfd Campus Fast-Nu, Fast Square, Faisalabad, Punjab, Pakistan

    Hassan Raza Mahmood

  4. Department of M.B.B.S, Shandong University, Shandong, China

    Kshitiz Sinha

Authors
  1. Anurag Sinha
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  2. Sarvjeet Kumar Singh
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  3. Hassan Raza Mahmood
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  4. Kshitiz Sinha
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Correspondence to Anurag Sinha .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, National Institute Of Technology Silchar, Cachar, Assam, India

    Anupam Biswas

  2. National Institute of Technology Bhopal, Bhopal, Madhya Pradesh, India

    Vijay Bhaskar Semwal

  3. Department of Computer Science, PDPM, Indian Institute of Information Technology, Jabalpur, India

    Durgesh Singh

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Sinha, A., Singh, S.K., Mahmood, H.R., Sinha, K. (2023). Skin Disease Detection and Classification Using Deep Learning: An Approach to Automate the System of Dermographism for Society. In: Biswas, A., Semwal, V.B., Singh, D. (eds) Artificial Intelligence for Societal Issues. Intelligent Systems Reference Library, vol 231. Springer, Cham. https://doi.org/10.1007/978-3-031-12419-8_13

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