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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...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| 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 |