To develop and test the performance of computerized ultrasound image analysis using deep neural networks (DNNs) in discriminating between benign and malignant ovarian tumors and to compare its diagnostic accuracy with that of subjective assessment (SA) by an ultrasound expert.


 We used transfer learning on three pre-trained DNNs: VGG16, ResNet50 and MobileNet.  Ultrasound image analysis using DNNs can predict ovarian malignancy with a diagnostic accuracy comparable to that of human expert examiners, indicating that these models may have a role in the triage of women with an ovarian tumor. 
DNNs
We used transfer learning on three pre-trained DNNs: VGG16, ResNet50 and MobileNet. 
VGG16
We used transfer learning on three pre-trained DNNs: VGG16, ResNet50 and MobileNet. 
ResNet50
We used transfer learning on three pre-trained DNNs: VGG16, ResNet50 and MobileNet. 
MobileNet