Title:
OPHTHALMIC IMAGE PROCESSING DEVICE AND OPHTHALMIC IMAGE PROCESSING PROGRAM
Document Type and Number:
WIPO Patent Application WO/2019/207800
Kind Code:
A1
Abstract:
An ophthalmic image processing device according to the present invention processes an ophthalmic image of a subject eye. A control unit of the ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image imaging unit. The control unit acquires an automatic diagnosis result for each of a plurality of diseases in the subject eye by inputting the ophthalmic image to a mathematical model learned by a machine learning algorithm. On the basis of the plurality of automatic diagnosis results for the ophthalmic image, the control unit generates reference information indicating, in stages, the degree to which at least any of the plurality of diseases is present in the subject eye.
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Inventors:
MIYAGI TOMOHIRO (JP)
HIGUCHI YUKIHIRO (JP)
KANOU TETSUYA (JP)
MIYAZAKI SOHEI (JP)
SHIBA RYOSUKE (JP)
HIGUCHI YUKIHIRO (JP)
KANOU TETSUYA (JP)
MIYAZAKI SOHEI (JP)
SHIBA RYOSUKE (JP)
Application Number:
PCT/JP2018/017327
Publication Date:
October 31, 2019
Filing Date:
April 27, 2018
Export Citation:
Assignee:
NIDEK KK (JP)
International Classes:
A61B3/14; A61B3/10
Foreign References:
| JP2018027273A | 2018-02-22 | |||
| US20160100806A1 | 2016-04-14 |
Other References:
AYATSUKA , YUJI ET AL.: "Detecting Ocular Diseases from an Optical Coherence Tomography Image by Machine Learning", IEICE TECHNICAL REPORT, vol. 116, no. 298, 7 November 2016 (2016-11-07), pages 11 - 14, ISSN: 0913-5685
KHALIL, T. ET AL.: "An Overview of Automated Glaucoma Detection", IEEE COMPUTING CONFERENCE PROCEEDINGS, vol. 2017, 2017, pages 620 - 632, XP033294580, ISBN: 978-1-5090-5442-8, DOI: 10.1109/SAI.2017.8252161
TAKAHASHI, HIDENORI ET AL.: "Applying artificial intelligence to disease staging Deep learning for improved staging of diabetic retinopathy", PLOS ONE, 22 June 2017 (2017-06-22), XP055646119
KHALIL, T. ET AL.: "An Overview of Automated Glaucoma Detection", IEEE COMPUTING CONFERENCE PROCEEDINGS, vol. 2017, 2017, pages 620 - 632, XP033294580, ISBN: 978-1-5090-5442-8, DOI: 10.1109/SAI.2017.8252161
TAKAHASHI, HIDENORI ET AL.: "Applying artificial intelligence to disease staging Deep learning for improved staging of diabetic retinopathy", PLOS ONE, 22 June 2017 (2017-06-22), XP055646119
Attorney, Agent or Firm:
OKAWA Tomoya et al. (JP)
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