References

Z. Hu and C. S. Yu. Functional research and development of skin barrier.Chinese Journal of Clinicians , vol. 7, no. 7, pp. 3101–3103, 2013.

Wei LS, Gan Q, Ji T. Skin Disease Recognition Method Based on Image Color and Texture Features. Mitchell J, ed. Comput Math Methods Med . 2018;201

J. Oyola and V. Arroyo. Detection of chickenpox vesicles in digital images of skin lesions. In Proceedings of 17th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications , pp. 583–590, Buenos Aires, Argentina, September 2012.

R. Sumithra, M. Suhilb, and D. S. Guruc. Segmentation and classification of skin lesions for disease diagnosis. Procedia Computer Science , vol. 45, pp. 76–85, 2015.

S. Kumar and A. Singh. Image processing for recognition of skin diseases. International Journal of Computer Applications , vol. 149, no. 3, pp. 37–40, 2016.

Younis S, Shnayder V, Blumenberg M. Application of Bioinformatics Methodologies in the Fields of Skin Biology and Dermatology. In:Bioinformatics - Updated Features and Applications . InTech; 2016. doi:10.5772/63799

Patnaik S. K, Sidhu M. S, Gehlot Y, Sharma B, Muthu P. Automated Skin Disease Identification using Deep Learning Algorithm. Biomed Pharmacol J 2018;11(3).

Quackenbush J, Hegde P, Qi R, Abernathy K, Gay C, Dharap S, et al. Genomics. Microarrays–guilt by association A concise guide to cDNA microarray analysis. Science. 2003;302:240–1.

Schena M, Shalon D, Davis RW, Brown PO. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science. 1995;270:467–70.

Dias R, Torkamani A. Artificial intelligence in clinical and genomic diagnostics. Genome Med . 2019;11(1):70. doi:10.1186/s13073-019-0689-8

Li H. Toward better understanding of artifacts in variant calling from high-coverage samples. Bioinformatics. 2014;30:2843–51.

Esteva, A. et al. Dermatologist-level classification of skin cancer with deep neural networks. Nature  542 , 115–118 (2017).

Uddin M, Wang Y, Woodbury-Smith M. Artificial intelligence for precision medicine in neurodevelopmental disorders. npj Digit Med . 2019;2(1):1-10. doi:10.1038/s41746-019-0191-0