Epidermis Infection Detection Using Machine Learning

DOI

No DOI

Published In

Volume 3, Issue 5 (2022)

Published Online

September-October 2022

Pages

28-30

Article Type

Research Article

Check for updates

No DOI available for cross-reference

Abstract: The epidermis infection is most dangerous and effectively spreading disease. The disease like melanoma, eczema and impetigo. Can be cured if we detect it earlier. The major problem with it is, patient needs dermatologist to know the kind of infection and get rid of it. But we can’t declare the 100% accurate medication by the doctor. The proposed paper uses many methods of image processing and deep learning. It supports web based and android based devices so that patient can instantly and periodically check the epidermis by uploading the infected area. This provides the accurate results with respect to input. Infected area 7 can be classified using the methods like image processing it has many dimension of image editing like the image resizing, color contrasting and image processing. At the end of the editing we compare the image of infected area with the dataset. Here dataset is nothing but the pre-collection of the samples of all kind of infections. When the features of the uploaded image are matched with the features of infection images which are already in the dataset will produce the result. The deep learning techniques process it and produce the accurate result. In the end of the testing it gives the basic medication suggestions too. Patient can get the best treatment for their infected epidermis.