| CPC G16H 50/20 (2018.01) [G06T 7/0012 (2013.01); G06T 2207/30096 (2013.01)] | 5 Claims |

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1. A medical image processing apparatus configured to extract a predetermined region from a diagnosis target image, the medical image processing apparatus comprising:
an organ extraction unit configured to extract an organ region from the diagnosis target image; and
a tumor extraction unit generated by executing machine learning using a known tumor region included in each medical image group as teacher data and using an organ region extracted from the medical image group and the medical image group as input data,
wherein the tumor extraction unit is configured to extract a tumor region from the diagnosis target image using the organ region extracted from the diagnosis target image by the organ extraction unit,
wherein the medical image processing apparatus further comprises a feature amount calculation unit configured to calculate a feature amount related to the tumor region extracted by the tumor extraction unit,
wherein the feature amount calculated by the feature amount calculation unit includes a tumor-organ feature amount that is a feature amount representing a relation between the organ region extracted from the medical image group, which is extracted by the organ extraction unit, and the tumor region extracted by the tumor extraction unit, and
wherein the tumor-organ feature amount includes a distance between the organ region and the tumor region, presence or absence of adhesion between the organ region and the tumor region, and presence or absence of infiltration of the tumor region into the organ region.
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