A Mobile Device-Based Hairy Scalp Diagnosis System Using Deep Learning Techniques
Wan‐Jung Chang, Ming-Che Chen, Liang-Bi Chen, Yi-Chan Chiu, Chia-Hao Hsu, Yang‐Kun Ou, Chen Qiu
Abstract
This paper proposes a mobile device-based hairy scalp diagnosis system, which adopts deep learning techniques. The proposed system is composed of a mobile device, a cloud-based AI training server, and a cloud-based database. Moreover, the proposed system can detect and diagnose four common hairy scalp symptoms: dandruff, folliculitis, hair loss, and oily hair. As a result, the experimental results showed that the recognition accuracy of the proposed system could achieve up to 95.59%.
Topics & Concepts
Computer scienceDandruffScalpDeep learningMobile deviceArtificial intelligenceCloud computingFolliculitisComputer visionDermatologyOperating systemMedicinePathologyShampooHair Growth and Disorders