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LEARNING DEVICE, METHOD, AND PROGRAM OF DISCRIMINATOR FOR DISCRIMINATING DISEASE REGION, DISCRIMINATOR FOR DISCRIMINATING DISEASE REGION, AND DISEASE REGION DISCRIMINATION DEVICE AND PROGRAM
LEARNING DEVICE, METHOD, AND PROGRAM OF DISCRIMINATOR FOR DISCRIMINATING DISEASE REGION, DISCRIMINATOR FOR DISCRIMINATING DISEASE REGION, AND DISEASE REGION DISCRIMINATION DEVICE AND PROGRAM
To accurately discriminate a disease region by using limited data even in an image in which it is difficult to prepare many pieces of data indicating a correct region of a disease in a learning device, a method, and a program of a discriminator for discriminating a disease region, a discriminator for discriminating a disease region, and a disease region discrimination device and program.SOLUTION: A discriminator includes a common learning unit and a plurality of learning units connected to an output part of the common learning unit. When a first image is input to the common learning unit by using the first image acquired by imaging a subject developing a disease and a plurality of data sets of a correct mask of a disease region in the first image, the discriminator is caused to learn so that information indicating the disease region is output from a first learning unit. When the first image is input to an input part of the common learning unit by using a plurality of data sets of sets of images aligning the first image and the second image of a kind different from that of the first image, the discriminator is caused to learn so that an estimation image of the second image is output from an output part of a second learning unit.SELECTED DRAWING: Figure 2
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