SonoEyeNet: standardized fetal ultrasound plane detection informed by eye tracking
We present a novel automated approach for detection of standardized abdominal circumference (AC) planes in fetal ultrasound built in a convolutional neural network (CNN) framework, called SonoEyeNet, that utilizes eye movement data of a sonographer in automatic interpretation. Eye movement data was...
| Main Authors: | , , , |
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| Format: | Conference item |
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IEEE
2018
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