Classification of pressure ulcer tissues with 3D convolutional neural network.
A 3D convolution neural network (CNN) of deep learning architecture is supplied with essential visual features to accurately classify and segment granulation, necrotic eschar, and slough tissues in pressure ulcer color images. After finding a region of interest (ROI), the features are extracted from...
| Publicado en: | Medical & Biological Engineering & Computing Vol. 56; no. 12; pp. 2245 - 2259 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |