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...
| Published in: | BioMed Research International Vol. 2018; pp. 1 - 10 |
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| Main Authors: | , , , , , |
| Format: | diagnostic images equations & formulas pictorial research tables/charts Journal Article |
| Published: |
Wiley-Blackwell
6/21/2018
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| Online Access: | View this record in EBSCOhost |