A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification

The document discusses a hybrid deep learning system designed for the automatic detection of scalp diseases and classification of hair fall stages. It highlights the prevalence of scalp disorders such as Alopecia Areata, Psoriasis, Folliculitis, and Seborrheic Dermatitis, which cause visible scalp inflammation, hair loss, and psychological effects, significantly impacting quality of life. Early detection is crucial to prevent irreversible damage and long-term hair loss. Traditional diagnostic methods rely on subjective visual evaluations by dermatologists, which can be time-consuming and inconsistent. The advancement in deep learning technology offers a promising solution for objective and rapid assessment of these conditions through automated image-based analysis.