Ultrasound

Manual palpation of organs played a vital role in detecting abnormalities in open surgeries. However, surgeons
have lost this ability with the development of minimally invasive surgeries. This challenge led to the development of artificial sensors for palpating the patient's organs and tissue. The majority of research done is related to improving the measurement of tissue compliance by the development of versatile force sensors for surgical

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The dataset used in the paper "A Deep Learning Approach for Segmentation, Classification and Visualization of 3D High Frequency Ultrasound Images of Mouse Embryos" is provided here. It contains both the segmentation and classification images with manual labels. 

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This is a supplementary data file, providing the data used to evaluate the performance of our 3D fully convolutional neural network. This network removes reverberation noise from ultrasound channel data. This dataset is simulated ultrasound channel data, simulated in Field II Pro, and has artificial reverberation and thermal noise added. This dataset will be linked to our publication, once it is accepted. 

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