Title:
MEDICAL IMAGE LEARNING DEVICE, METHOD, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2020/003991
Kind Code:
A1
Abstract:
Provided are a medical image learning device, method, and program which are capable of creating a model that performs highly accurate image recognition on a medical image imaged under special light. This medical image learning device (10-1) includes a first learning part (30) that creates a first model for image recognition by learning using a normal light image group comprising a plurality of normal light images imaged under normal light, and a second learning part (40) that creates a second model, which performs image recognition on a special light image, by learning using a special light image group comprising a plurality of special light images imaged under special light on the basis of the first model. The first learning part (30) performs prior learning using the normal image group which can be collected in relatively large numbers, and is thus capable of favorably creating the first model. The second learning part (40) relearns using the special light image group on the basis of the first model, and is thus capable of creating the second model that appropriately performs image recognition on the special light image which is relatively small in number.
Inventors:
OOSAKE MASAAKI (JP)
Application Number:
PCT/JP2019/022909
Publication Date:
January 02, 2020
Filing Date:
June 10, 2019
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
A61B1/045; A61B1/00; G02B23/24
Domestic Patent References:
| WO2017175282A1 | 2017-10-12 |
Foreign References:
| JP2017221486A | 2017-12-21 | |||
| JP2005065976A | 2005-03-17 | |||
| JP2003033324A | 2003-02-04 |
Other References:
SONOYAMA, SHOJI ET AL.: "Transfer Learning for Bag-of-Visual words approach to NBI endoscopic image classification", 37TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, 25 August 2015 (2015-08-25), pages 785 - 788, XP032810308, DOI: 10.1109/EMBC.2015.7318479
PENG, XISHUAI ET AL.: "Multi-modal scene categorization using multi-tasks learning", 2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP),, 6 November 2016 (2016-11-06), pages 1106 - 1111, XP033076126, ISSN: 2164-5221, DOI: 10.1109/ICSP.2016.7878000
PENG, XISHUAI ET AL.: "Multi-modal scene categorization using multi-tasks learning", 2014 12TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP),, 6 November 2016 (2016-11-06), pages 1106 - 1111, XP033076126, ISSN: 2164-5221, DOI: 10.1109/ICSP.2016.7878000
Attorney, Agent or Firm:
MATSUURA, Kenzo (JP)
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