2023
DOI: 10.33395/sinkron.v8i4.13110
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Hair Disease Classification Using Convolutional Neural Network (CNN) Algorithm with VGG-16 Architecture

Ichwanul Muslim Karo Karo,
Dedi Kiswanto,
Suvriadi Panggabean
et al.

Abstract: Hair diseases are common and can be caused by a variety of factors, including genetics, stress, nutritional deficiencies, as well as exposure to sunlight and air pollution. Accurate diagnosis of hair diseases is important for proper treatment, but can be challenging due to overlapping symptoms. The development of the healthcare world has widely utilized machine learning and deep learning approaches to assist in the healthcare field. This research aims to develop hair disease classification using Convolutional … Show more

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