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Ultrasound Scatterer Density Classification Using Convolutional Neural Networks by Exploiting Patch Statistics
The results also show that the proposed network is able to work with different imaging parameters with no need for a reference phantom.
Fine tuning U-Net for ultrasound image segmentation: which layers?
In this study, we investigated the effect of fine-tuning different layers of a U-Net which was trained on segmentation of natural images in breast ultrasound image segmentation.
Breast lesion segmentation in ultrasound images with limited annotated data
Ultrasound (US) is one of the most commonly used imaging modalities in both diagnosis and surgical interventions due to its low-cost, safety, and non-invasive characteristic.
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