A Machine Learning-Based Scalp Hair Inspection and Diagnosis System for Scalp Health
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-9179-2_43
Reference12 articles.
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2. Kim M, Kang S, Lee B-D (2022) Evaluation of automated measurement of hair density using deep neural networks. Sensors 22(2):650
3. Shakeel CS et al. (2021) Classification framework for healthy hairs and alopecia areata: a machine learning (ml) approach. Computational and mathematical methods in medicine
4. Zhang L, Man Q, Cho YI (2021) Deep-learning-based hair damage diagnosis method applying scanning electron microscopy images. Diagnostics 11(10):1831
5. Esfandiari A, Kalantari KR, Babaei A (2012) (2012) Hair loss diagnosis using artificial neural networks. Intl J Comput Sci Issues (IJCSI) 9(5):174
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