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Research 8 of 24

1. Scalp Disease Detection Using Deep Learning: A Hybrid Ensemble Approach with EfficientNetB0, DenseNet121 and MobileNetV2 International Journal of Scientific Research in Science and Technology · 2026
2. A Study on the Development of a Web Platform for Scalp Diagnosis Using EfficientNet Applied Sciences · 2024 · 3 citations
3. Automated Classification of Male and Female Pattern Hair Loss Stages Using EfficientNet According to the Hamilton-Norwood and Ludwig Scale 2026
4. A Hybrid Deep Learning System for Automatic Detection of Scalp Diseases and Hair Fall Stage Classification 2026
5. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
6. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
7. Classification of Visually Similar Scalp Diseases using Deep Learning: A Hybrid CNN-VIT Approach with Cross-Attention Fusion Zenodo (CERN European Organization for Nuclear Research) · 2026
8. Analyse trichoskopischer Bilder mit tiefen neuronalen Netzen zur Diagnose und Aktivitätsbewertung von Alopecia areata – eine retrospektive Studie JDDG Journal der Deutschen Dermatologischen Gesellschaft · 2026

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