Comparison of Transferred Deep Neural Networks in Ultrasonic Breast Masses Discrimination.
This research aims to address the problem of discriminating benign cysts from malignant masses in breast ultrasound (BUS) images based on Convolutional Neural Networks (CNNs). The biopsy-proven benchmarking dataset was built from 1422 patient cases containing a total of 2058 breast ultrasound masses...
| Publicado en: | BioMed Research International Vol. 2018; pp. 1 - 10 |
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| Autores principales: | , , , , , |
| Formato: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Publicado: |
Wiley-Blackwell
6/21/2018
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| Acceso en línea: | Ver este registro en EBSCOhost |