Automatic classification of ultrasound breast lesions using a deep convolutional neural network mimicking human decision-making.
Alexander P CiritsisCristina RossiMatthias EberhardMagda MarconAnton S BeckerAndreas BossPublished in: European radiology (2019)
• Deep convolutional neural networks could be used to classify US breast lesions. • The implemented dCNN with its sliding window approach reaches high accuracies in the classification of US breast lesions. • Deep convolutional neural networks may serve for standardization in US BI-RADS classification.