Title:
LEARNING DEVICE, LEARNING METHOD, LEARNED MODEL, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2022/163401
Kind Code:
A1
Abstract:
Provided are: a learning device that uses high-accuracy, high-quality learning data to generate a learned model which outputs a high-accuracy diagnostic interpretation report; a learning method; a program; and a learned model which has undergone learning using said learning method. A learning device comprises: a processor (129); a memory (114); and a learning model (130). The processor (129) executes: a process for projecting an X-ray CT image (202) to generate a pseudo pure X-ray image (204), and inputting the pseudo pure X-ray image (204) into a learning model (126); a process for converting a first diagnostic interpretation report (206) to generate a second diagnostic interpretation report (208) for the pseudo pure X-ray image (204); a process for acquiring an error between the second diagnostic interpretation report (208) and an estimated report (210) for the pseudo pure X-ray image (204) that was output by the learning model (126) on the basis of the input pseudo pure X-ray image (204); and a process for making the learning model (126) learn using the error.
Inventors:
HIASA YUTA (JP)
Application Number:
PCT/JP2022/001350
Publication Date:
August 04, 2022
Filing Date:
January 17, 2022
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
G06T7/00; A61B6/03; G16H15/00; G16H30/00
Foreign References:
| JP2019153250A | 2019-09-12 | |||
| CN111223085A | 2020-06-02 | |||
| CN112215845A | 2021-01-12 | |||
| US20200321101A1 | 2020-10-08 |
Other References:
OHKUMA, TOMOKO: "The Fujifilm Group's thinking on the future of "imaging report systems"", INNERVISION, MAGUBUROSU SHUPPAN, TOKYO, JP, vol. 35, no. 3, 25 February 2020 (2020-02-25), JP , pages 60 - 61, XP009538660, ISSN: 0913-8919
NISHINO, TORU: "Using deep reinforcement learning with disproportionate characteristics to generate imaging reports", PROCEEDINGS OF THE 26TH ANNUAL MEETING OF THE ASSOCIATION FOR NATURAL LANGUAGE PROCESSING, vol. 26, 9 March 2020 (2020-03-09), pages 201 - 204, XP009538746
NISHINO, TORU: "Using deep reinforcement learning with disproportionate characteristics to generate imaging reports", PROCEEDINGS OF THE 26TH ANNUAL MEETING OF THE ASSOCIATION FOR NATURAL LANGUAGE PROCESSING, vol. 26, 9 March 2020 (2020-03-09), pages 201 - 204, XP009538746
Attorney, Agent or Firm:
MATSUURA, Kenzo (JP)
Download PDF: