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APPARATUS, METHOD, AND PROGRAM FOR TRAINING DISCRIMINATOR DISCRIMINATING DISEASE REGION, DISCRIMINATOR DISCRIMINATING DISEASE REGION, DISEASE REGION DISCRIMINATION APPARATUS, AND DISEASE REGION DISCRIMINATION PROGRAM
APPARATUS, METHOD, AND PROGRAM FOR TRAINING DISCRIMINATOR DISCRIMINATING DISEASE REGION, DISCRIMINATOR DISCRIMINATING DISEASE REGION, DISEASE REGION DISCRIMINATION APPARATUS, AND DISEASE REGION DISCRIMINATION PROGRAM
To allow highly accurate discrimination of a disease region by the use of limited amounts of data, even in the case of an image in which it is difficult to prepare large amounts of data indicating a correct disease region, in an apparatus, method, and program for training a discriminator discriminating a disease region, a discriminator discriminating a disease region, a disease region discrimination apparatus, and a disease region discrimination program.SOLUTION: A discriminator comprises: a common learning unit; and a plurality of learning units that are connected to an output unit of the common learning unit. The discriminator is trained such that when a medical image is input to the common learning unit using a plurality of datasets of the medical image and a correct mask of a first disease region, information indicating the first disease region is output from a first learning unit. The discriminator is trained such that when a medical image is input to the common learning unit using a plurality of datasets of the medical image and a correct mask of a second disease region having at least one of medical and anatomical cause-and-effect relations with the first disease, information indicating the second disease region is output from a second learning unit.SELECTED DRAWING: Figure 2
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