| CPC A61B 3/14 (2013.01) [A61B 3/102 (2013.01); A61B 5/7264 (2013.01); G06T 7/0012 (2013.01); G06T 2207/30041 (2013.01)] | 10 Claims |
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1. An ophthalmologic image processing apparatus for processing an ophthalmologic image as an image of a tissue of a subject eye, the ophthalmologic image processing apparatus comprising a control section configured to execute:
an image acquisition step of acquiring an ophthalmologic image captured by an ophthalmologic image capturing apparatus,
an evaluation information acquisition step of acquiring, for the ophthalmologic image acquired at the image acquisition step, evaluation information indicating an appropriateness for acquiring medical data including at least any of an analysis result relating to a disease of the subject eye, an analysis result relating to a structure of the subject eye, and an image converted from the acquired ophthalmologic image, and
a medical data acquisition step of acquiring the medical data based on the ophthalmologic image acquired at the image acquisition step, wherein
at the medical data acquisition step, the control section changes a medical data acquisition method according to whether or not the evaluation information acquired at the evaluation information acquisition step satisfies a criterion,
at the medical data acquisition step, the control section acquires the medical data in such a manner that the ophthalmologic image is input to a mathematical model trained according to a machine learning algorithm,
the mathematical model is trained using multiple training data sets of the ophthalmologic image captured by the ophthalmologic image capturing apparatus as input training data and the medical data corresponding to the input training data as output training data, and
the criterion is set based on multiple pieces of the input training data used for training of the mathematical model.
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