Acist Medical Systems, Inc.

Advit Bhatt

Jung Wook Suh

Jonathan Tung

Wouter Vlaanderen

Jung W Suh

Examples for determining a confidence level associated with image segmentation are disclosed. A confidence level associated with a collective image segmentation result can be determined by generating multiple individual segmentation results each from the same image data. These examples can then aggregate the individual segmentation results to form the collective image segmentation result and measure the spread of each individual segmentation result from the collective image segmentation result. The measured spread of each individual segmentation result can then be used to determine the confidence level associated with the collective image segmentation result. This can allow a confidence level associated with the collective image segmentation result to be determined. This confidence level may be determined without needing a ground truth to compare to the collective image segmentation result.

Image segmentation confidence determination

Methods and systems are disclosed for segmenting an image. First and second frames of image data are generated at different times. A first portion of the first frame is compared to image data of the second frame, and a second portion of the second frame is selected based on the comparison. A displacement vector between the first portion and the second portion is calculated, where the displacement vector represents relative movement over time between the image data represented by the first portion and the image data represented by the second portion. An image is output with an indicator, and the location of the indicator on the image is determined by using the calculated displacement vector. The indicator can serve to distinguish between items in an imaging view.

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Danville, CA, United States of America

Advit Bhatt