JJEM: Special Edition 2 (December 2024)
JJEM: Special Edition 2 (December 2024)
2024-12-08
Detection of texture-based skin disease using CNN.
Shravya K S, Manjunatha H T.
The recommended work aids in identifying the kind of skin condition the patient is suffering. Over the use of the patient's symptoms and precise vital signs data in the proposed system due to the elevated cost of healthcare, many are putting off getting sick. This could ultimately result in fatalities or other severe issues to minimize the effort required of a normal person. The main objective of this method is to estimate the type and degree of a person’s ailment. We have created a machine learning system to forecast skin conditions built on the CNN algorithm. The patient provides a snapshot of the skin infection as input for the prototype. The project's objective is to detect the kind of skin issue and offer solutions in a timely and accurate manner.
Disease Prediction, Machine Learning Algorithm, Supervised Learning, Diagnosis System, User Interface