| CPC G06T 7/0002 (2013.01) [G06T 2207/10012 (2013.01); G06T 2207/10072 (2013.01)] | 18 Claims |
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1. A method, performed by one or more computing devices, for providing analysis results for an artificial neural network model for a 3D image, the method comprising:
outputting a representative image for the 3D image including a plurality of slices;
selecting at least one pixel associated with a target item from among a plurality of pixels included in the representative image; and
outputting, among the plurality of slices, at least one slice associated with the selected at least one pixel based on a prediction score for the target item,
wherein the prediction score for the target item is output by inputting each of the plurality of slices to a target item detection model, and
wherein the outputting, among the plurality of slices, the at least one slice associated with the selected at least one pixel includes outputting, based on the prediction score, a slice where a visibility of the target item is highest among the plurality of slices.
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