AI EMPOWERED DIAGNOSIS OF PEMPHIGUS: A MACHINE LEARNING APPROACH FOR AUTOMATED SKIN LESION DETECTION.

Autor:	Ahmed, Mamun, Islam, Salma Binta, Alif, Aftab Uddin, Islam, Mirajul, Saima, Sabrina Motin
Předmět:	MACHINE learning PEMPHIGUS ARTIFICIAL intelligence SUPERVISED learning PATTERN recognition systems CLASSIFICATION
Zdroj:	Informatics Control Measurement in Economy & Environment Protection / Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska; 2023, Vol. 13 Issue 4, p21-26, 6p
Abstrakt:	This document provides a comprehensive summary of a study that explores the use of machine learning algorithms for the detection of pemphigus, an autoimmune skin disease. The study compares the performance of different algorithms and finds that the Convolutional Neural Network (CNN) algorithm achieved the highest accuracy. The document also references existing literature on machine learning in dermatology and highlights the potential of this technology in the field. [Extracted from the article]
Databáze:	Complementary Index
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