Study of Diseases of the Human Body by Using Nails Images

Abstract

Digital image processing techniques have played a vital role in many applications and have shown a clear impact on human service, especially in the medical field through the discovery and diagnosis of many diseases, and among the medical sciences that have recently attracted the attention of researchers are skin diseases through which body diseases are diagnosed, including images of human nails, and given that there are limitations on the accuracy of human vision for some human health conditions, which leads to inaccuracy in diagnosing the disease, as well as the lack of an integrated dataset for images of human nail diseases.

As a result, the aim of this research was to provide a study on the most important diseases that affect the human body, which can be identified through images of human nails, and work has been done to create a database that includes more than (600) images that were taken for the nails of people on site using different normal cameras and mobile cameras. Thus, these images were classified into two groups: (normal images and diseased images) with the help of a consultant doctor specializing in dermatology, depending on the shape, color and texture of the nail, to help researchers use them in developing applications related to diagnosing diseases of the human body through nail images. This study showed that the use of images of nails is useful in early diagnosis of health problems and common and dangerous diseases affecting the nails, in addition to that it helps in following up the patient remotely, by evaluating the performance of treatment or to verify the performance of the treatment that is prescribed to the patient by identifying the changes that occur. It is caused by medical treatment on pictures of nails that are sent to the attending physician.

Country : Iraq

1 Hani Adel Shukur2 Sundus Khaleel Ebraheem

  1. Department of Computer Science, College of Computer Science, University of Mosul, Mosul, Iraq
  2. Assistant Professor, Department of Computer Science, College of Computer Science, University of Mosul, Mosul, Iraq

IRJIET, Volume 7, Issue 5, May 2023 pp. 226-233

doi.org/10.47001/IRJIET/2023.705029

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