Title:
BONE SECTION IMAGE ANALYSIS METHOD AND LEARNING METHOD
Document Type and Number:
WIPO Patent Application WO/2020/255292
Kind Code:
A1
Abstract:
This bone section image analysis method comprises the step of extracting a predetermined bone region (A) and a predetermined member (300) having a higher brightness than a bone section on the basis of the learning result of machine learning using a first learning input image (30) acquired by adding a first simulation member image (300a) for simulating the predetermined member (300) to a bone region image (20) and a first label image (40) corresponding to the first learning input image (30).
Inventors:
OSHIKAWA SHOTA (JP)
TAKAHASHI WATARU (JP)
TAKAHASHI WATARU (JP)
Application Number:
PCT/JP2019/024263
Publication Date:
December 24, 2020
Filing Date:
June 19, 2019
Export Citation:
Assignee:
SHIMADZU CORP (JP)
International Classes:
A61B6/00
Foreign References:
| JP2013240584A | 2013-12-05 | |||
| JP2015530193A | 2015-10-15 | |||
| JP2005156334A | 2005-06-16 |
Attorney, Agent or Firm:
MIYAZONO, Hirokazu (JP)
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