Title:
ULTRASOUND DIAGNOSIS DEVICE AND METHOD FOR CONTROLLING ULTRASOUND DIAGNOSIS DEVICE
Document Type and Number:
WIPO Patent Application WO/2019/172232
Kind Code:
A1
Abstract:
This ultrasound diagnosis device 1 is provided with: an image acquisition unit 8 for acquiring an ultrasound image by transmitting ultrasound beams to a subject using an ultrasound probe 18; an optic nerve recognition unit 9 for recognizing the optic nerve of the subject through image analysis of the ultrasound image acquired by the image acquisition unit 8; an optic nerve evaluation unit 10 for evaluating the shape of the optic nerve of the subject recognized by the optic nerve recognition unit 9 on the basis of the anatomical structure; and an operation guide unit 12 for guiding a user's operation of the ultrasound probe 18 so as to acquire an ultrasound image for measurement of the optic nerve of the subject on the basis of the result of evaluation by the optic nerve evaluation unit 10.
Inventors:
NEGISHI MITSURU (JP)
Application Number:
PCT/JP2019/008570
Publication Date:
September 12, 2019
Filing Date:
March 05, 2019
Export Citation:
Assignee:
FUJIFILM CORP (JP)
International Classes:
A61B8/10; A61B3/10
Foreign References:
| US8672851B1 | 2014-03-18 | |||
| JP2006061196A | 2006-03-09 | |||
| JPH08502188A | 1996-03-12 | |||
| JP2015188467A | 2015-11-02 | |||
| JP2010269018A | 2010-12-02 |
Other References:
CSURKA ET AL.: "Visual Categorization with Bags of Keypoints", PROC. OF ECCV WORKSHOP ON STATISTICAL LEARNING IN COMPUTER VISION, 2004, pages 59 - 74
KRIZHEVSK ET AL.: "ImageNet Classification with Deep Convolutional Neural Networks", ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, vol. 25, 2012, pages 1106 - 1114
See also references of EP 3763295A4
KRIZHEVSK ET AL.: "ImageNet Classification with Deep Convolutional Neural Networks", ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS, vol. 25, 2012, pages 1106 - 1114
See also references of EP 3763295A4
Attorney, Agent or Firm:
ITOH Hideaki et al. (JP)
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