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...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Hindawi Limited
2018-01-01
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| Series: | BioMed Research International |
| Online Access: | http://dx.doi.org/10.1155/2018/4605191 |