Title:
INFORMATION PROCESSING DEVICE, AND PRODUCTION METHOD FOR MACHINE LEARNING DATA
Document Type and Number:
WIPO Patent Application WO/2019/168129
Kind Code:
A1
Abstract:
[Problem] To provide an information processing device and a production method for machine learning data that enable machine learning process while effectively using information not paired with diagnostic information related to the eyes and that can facilitate a process such as diagnosis while improving efficiency of the machine learning. [Solution] The present invention comprises: acquiring information indicating a pattern of information regarding a symptom of the eyes; and generating machine learning data by controlling a parameter of a neural network by using information regarding a difference between an output of the neural network upon input of diagnostic information related to the eyes and the information regarding the symptom of the eyes corresponding to the inputted diagnostic information, and using information related to the pattern of information regarding the symptom of the eyes having been received.
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Inventors:
YAMANISHI KENJI (JP)
KIWAKI TAICHI (JP)
SUGIURA HIROKI (JP)
ASAOKA RYO (JP)
MURATA HIROSHI (JP)
KIWAKI TAICHI (JP)
SUGIURA HIROKI (JP)
ASAOKA RYO (JP)
MURATA HIROSHI (JP)
Application Number:
PCT/JP2019/007950
Publication Date:
September 06, 2019
Filing Date:
February 28, 2019
Export Citation:
Assignee:
UNIV TOKYO (JP)
International Classes:
G06N3/08; A61B3/00; G06T7/00
Domestic Patent References:
| WO2014136316A1 | 2014-09-12 |
Foreign References:
| JPH05189397A | 1993-07-30 | |||
| JP2015116319A | 2015-06-25 | |||
| JP2018014059A | 2018-01-25 |
Other References:
TAKIZAWA, HOTAKA: "Special area research - Lung cancer detection from chest X-ray CT images: Improvement of accuracy in the detection by knowledge-guided recognition method", INNERVISION, vol. 22, no. 7, 25 June 2007 (2007-06-25), pages 25
SUGIURA, HIRAKI ET AL.: "Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization", PROCEEDING OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 19 August 2018 (2018-08-19), pages 783 - 792, Retrieved from the Internet [retrieved on 20190408]
SUGIURA, HIRAKI ET AL.: "Estimating Glaucomatous Visual Sensitivity from Retinal Thickness with Pattern-Based Regularization and Visualization", PROCEEDING OF THE 24TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY & DATA MINING, 19 August 2018 (2018-08-19), pages 783 - 792, Retrieved from the Internet
Attorney, Agent or Firm:
TAKEI Nobutoshi (JP)
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