Title:
歯科画像処理システム
Document Type and Number:
Japanese Patent JP7288628
Kind Code:
B2
Abstract:
To provide a simplified device for reducing artifact from a dental image so as to solve the problem that in a dental image processing apparatus, the apparatus tends to be enlarged for reducing artifact, or imaging has to be performed a plurality of times, which necessitates complicated processing.MEANS FOR SOLVING THE PROBLEM: A dental image processing apparatus includes an artifact reduced image generation unit for generating an image in which artifact included in an image of a tooth part is reduced, and an image display unit for displaying the image in which artifact is reduced. In particular, the artifact reduced image generation unit is created by machine learning in which an artifact reduced image is generated from an image with artifact and an image without artifact.SELECTED DRAWING: Figure 1
Inventors:
Hironobu Tsuji
Yosuke Tsuji
Tatsuro Hayashi
Hiroshi Fujita
Takeshi Hara
Zhou Mukai
Chisako Muramatsu
Shota Kutsuna
Akitoshi Katsumata
Yosuke Tsuji
Tatsuro Hayashi
Hiroshi Fujita
Takeshi Hara
Zhou Mukai
Chisako Muramatsu
Shota Kutsuna
Akitoshi Katsumata
Application Number:
JP2018055714A
Publication Date:
June 08, 2023
Filing Date:
March 23, 2018
Export Citation:
Assignee:
ITEC Co., Ltd.
International Classes:
A61B6/14; A61B6/03; G06T1/00; G06T1/40; G06T5/00
Domestic Patent References:
| JP2008167949A | ||||
| JP2015223458A |
Other References:
Deepak Pathak,Context Encoders: Feature Learning by Inpainting,2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR),2016年12月12日,pp.2536-2544
Jun-Yan Zhu,Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks,IEEE International Conference on Computer Vision (ICCV), 2017,2017年
Jun-Yan Zhu,Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks,IEEE International Conference on Computer Vision (ICCV), 2017,2017年
Attorney, Agent or Firm:
Eizo Tomono