Ophthalmic information processing apparatus, ophthalmic apparatus, ophthalmic information processing method, and recording medium

2:

• The ophthalmic information processing apparatus of claim 1, wherein
• the second teaching data includes a front image included in the first teaching data.

3:

• The ophthalmic information processing apparatus of claim 1, further comprising
• a first learning circuit configured to generate the disc hemorrhage determination model by performing supervised machine learning using the first teaching data.

4:

• The ophthalmic information processing apparatus of claim 1, further comprising
• a second learning circuit configured to generate the disc hemorrhage region detection model by performing supervised machine learning using the second teaching data.

5:

• The ophthalmic information processing apparatus of claim 1, wherein
• the front image of the fundus is a color front image.

6:

• The ophthalmic information processing apparatus of claim 1, further comprising
• an analyzer circuit configured to generate at least one of position information of a position of the disc hemorrhage region in the front image of the fundus of the subject's eye, shape information representing a shape of the disc hemorrhage region, or occurrence information representing occurrence status of the disc hemorrhage region, by analyzing the front image of the fundus of the subject's eye.

7:

• The ophthalmic information processing apparatus of claim 6, wherein
• the position information includes information indicating a direction of a representative position of the disc hemorrhage region relative to a reference position.

8:

• The ophthalmic information processing apparatus of claim 6, wherein
• the position information includes information indicating whether the representative position of the disc hemorrhage region is within or outside an optic disc region.

9:

• The ophthalmic information processing apparatus of claim 8, wherein
• the position information includes information indicating whether the representative position is within or outside a neuroretinal rim.

10:

• The ophthalmic information processing apparatus of claim 6, wherein
• the shape information includes at least one of an ellipticity of the disc hemorrhage region or an area of the disc hemorrhage region.

11:

• The ophthalmic information processing apparatus of claim 6, wherein
• the occurrence information includes at least one of an occurrence frequency of the disc hemorrhage region or an occurrence interval of the disc hemorrhage region.

12:

• The ophthalmic information processing apparatus of claim 6, further comprising
• a position matching circuit configured to perform position matching between OCT data of the subject's eye and the front image of the subject's eye in which the disc hemorrhage region detected by the detector is depicted, wherein
• the analyzer circuit is configured to generate at least one of the position information, the shape information, or the occurrence information, using the OCT data on which position matching has been performed with the front image by the position matching circuit.

16:

• The ophthalmic information processing method of claim 15, wherein
• the second teaching data includes a front image included in the first teaching data.

17:

• The ophthalmic information processing method of claim 15, further comprising
• a first learning step of generating the disc hemorrhage determination model by performing supervised machine learning using the first teaching data.

18:

• The ophthalmic information processing method of claim 15, further comprising
• a second learning step of generating the disc hemorrhage region detection model by performing supervised machine learning using the second teaching data.

19:

• The ophthalmic information processing method of claim 15, wherein
• the front image of the fundus is a color front image.

20:

• The ophthalmic information processing method of claim 15, further comprising
• an analyzing step of generating at least one of position information of a position of the disc hemorrhage region in a front image of the fundus of the subject's eye, shape information representing a shape of the disc hemorrhage region, or occurrence information representing occurrence status of the disc hemorrhage region, by analyzing the front image of the fundus of the subject's eye.

21:

• The ophthalmic information processing method of claim 20, wherein
• the position information includes information indicating a direction of a representative position of the disc hemorrhage region relative to a reference position.

22:

• The ophthalmic information processing method of claim 20, wherein
• the position information includes information indicating whether the representative position of the disc hemorrhage region is within or outside an optic disc region.

23:

• The ophthalmic information processing method of claim 22, wherein
• the position information includes information indicating whether the representative position is within or outside a neuroretinal rim.

24:

• The ophthalmic information processing method of claim 20, wherein
• the shape information includes at least one of an ellipticity of the disc hemorrhage region or an area of the disc hemorrhage region.

25:

• The ophthalmic information processing method of claim 20, wherein
• the occurrence information includes at least one of an occurrence frequency of the disc hemorrhage region or an occurrence interval of the disc hemorrhage region.

26:

• The ophthalmic information processing method of claim 20, further comprising
• a position matching step of performing position matching between OCT data of the subject's eye and the front image of the subject's eye in which the disc hemorrhage region detected in the detection step, wherein
• the analyzing step is performed to generate at least one of the position information, the shape information, or the occurrence information, using the OCT data on which position matching has been performed with the front image in the position matching step.

27:

• A computer readable non-transitory recording medium in which a program for causing a computer to execute each step of the ophthalmic information processing method of claim 15 is recorded.