Development of Scalp Diagnosis Algorithm Using Surface-Sensing Convolutional Neural Network

Abstract The development of the information technology has made tremendous advance in image processing and computer vision fields, digital is showing rapid progress various applications. And, case scalp-related diseases such as dandruff erythema, early detection management helps to prevent hair loss, chronic scalp inflammation, skin cancer, so it important determine condition take action soon possible. In this paper, a novel algorithm proposed that can quickly easily select one’s using latest deep learning technology. more accurate than existing studies, possible discriminate without any additional nor metadata replies answered by users which inevitably results inconsistency instability. As result implementing validating algorithm, shows an accuracy maximum 98.78%, average increased up 6.62% compared research based on traditional method.