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Identifying Ear Abnormality from 2D Photographs Using Convolutional Neural Networks

Quantifying ear deformity using linear measurements and mathematical modeling is difficult due to the ear’s complex shape. Machine learning techniques, such as convolutional neural networks (CNNs), are well-suited for this role. CNNs are deep learning methods capable of finding complex patterns from...

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Detalles Bibliográficos
Autores principales:	Hallac, Rami R., Lee, Jeon, Pressler, Mark, Seaward, James R., Kane, Alex A.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6890688/ https://www.ncbi.nlm.nih.gov/pubmed/31796839 http://dx.doi.org/10.1038/s41598-019-54779-7

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