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RESECT-SEG: Open access annotations of intra-operative brain tumor ultrasound images
The proposed dataset contains tumor tissues and resection cavity annotations of the iUS images.
Automatic 3D Ultrasound Segmentation of Uterus Using Deep Learning
In the second scenario, our proposed network was trained using all the planes of each 3D volume.
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.
Ultrasound segmentation using U-Net: learning from simulated data and testing on real data
Therefore, in this study, we propose the use of simulated ultrasound (US) images for training the U-Net deep learning segmentation architecture and test on tissue-mimicking phantom data collected by an ultrasound machine.
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