Diagnosis processing device, diagnosis processing system, diagnosis processing method, diagnosis processing program and computer-readable recording medium, and classification processing device

摘要

A diagnosis processing device is provided in which diagnosis is realizable by a simple arrangement. A diagnosis processing device (1) of the present invention includes: a learning pattern creating section (10a) for creating a learning pattern by sampling data from a learning image in which abnormality information indicating a substantive feature of abnormality of a target is pre-known; a learning processing section (12) for causing a neural network (17) to learn, by using learning patterns; a diagnostic pattern creating section (10b) for creating a diagnostic pattern by sampling data from a diagnostic image in which abnormality information is unknown; a determination processing section (18) for determining a substantive feature of the abnormality of the target indicated in the abnormality information in the diagnostic image, based on an output value outputted, in response to an input of the diagnostic pattern, from a learned neural network (17) which is a neural network subjected to learning.

主权项

1. A diagnosis processing device for diagnosing a target for abnormality by use of a neural network, the diagnosis processing device comprising:
a learning pattern creating section for creating a learning pattern by (i) digitalizing a learning image into digital data, the learning image being an image in which abnormality information indicating a substantive feature of abnormality of the target is pre-known, and (ii) without extracting data of a possible abnormal site from the target, sampling data from the digital data of the learning image by use of a predetermined sampling method, the learning pattern indicating a data sequence of a sample data row of the data thus sampled; a learning processing section for causing the neural network to learn, by use of two or more learning patterns created as above by the learning pattern creating section; a diagnostic pattern creating section for creating a diagnostic pattern by (iii) digitalizing a diagnostic image into digital data, the diagnostic image being an image in which abnormality information is unknown, and (iv) without extracting data of a possible abnormal site from the target, sampling data from the digital data of the diagnostic image by use of the predetermined sampling method, the diagnostic pattern indicating a data sequence of a sample data row of the data thus sampled; and a determining section for determining a substantive feature of the abnormality of the target indicated in the abnormality information in the diagnostic image, based on an output value outputted, in response to an input of the diagnostic pattern, from a learned neural network which is the neural network subjected to learning.