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