ARCHIVES
Epidermis Infection Detection Using Machine Learning
¹² Department of MCA, VTU, Karnataka, India.
Published Online: September-October 2022
Pages: 28-30
Cite this article
No DOI
Abstract
View PDFAbstract: 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.
Related Articles
2022
Enhancement of beam strength by using bamboo as reinforcement in place of steel bars
2022
A Review on Anomaly Detection using PYOD Package
2022
Traffic Rule Violation Detection system
2022
BRAIN TUMOUR IDENTIFICATION USING VGG-16
2022
Design and Analysis of Manual Seed Sowing Machine
2022
Uninterrupted Power Supply to a Load using Auto-Selection between Four Different Sources
2022
Product Review Monitoring System by Machine Learning
2022
Face Mask Detection
2022
Object Detection, Convert Object Name to Text and Text to Speech
2022
Chat application using MongoDB, Express.js, React.js, Node.js (MERN) stack

