Title:
画像処理装置、画像処理装置の作動方法、及びプログラム
Document Type and Number:
Japanese Patent JP7305401
Kind Code:
B2
Abstract:
An image processing apparatus includes: an obtaining unit configured to obtain a first image of an eye to be examined; an image quality improving unit configured to generate a second image with at least one of lower noise and higher contrast than the obtained first image using the obtained first image as an input data of a learned model, wherein the learned model has been obtained by using training data including a second image with at least one of lower noise and higher contrast than a first image of an eye to be examined; and a display controlling unit configured to cause the obtained first image and the generated second image to be switched, juxtaposed or superimposed and displayed on a display unit.
Inventors:
Hiroki Uchida
Yoshihiko Iwase
Osamu Sagano
Ritsuya Tomita
Yoshihiko Iwase
Osamu Sagano
Ritsuya Tomita
Application Number:
JP2019068663A
Publication Date:
July 10, 2023
Filing Date:
March 29, 2019
Export Citation:
Assignee:
Canon Inc
International Classes:
A61B3/12; A61B3/10; G06T1/00; G06T7/00
Domestic Patent References:
JP2018005841A | ||||
JP2015198757A | ||||
JP2018033717A | ||||
JP6180569A | ||||
JP2018077786A | ||||
JP2018055516A | ||||
JP2017094097A | ||||
JP2018068748A |
Foreign References:
US20180012359 | ||||
WO2017143300A1 | ||||
US20180214087 |
Other References:
DEVALLA Sripad Krishna,DRUNET: A Dilated-Residual U-Net Deep Learning Network to Digitally Stain Optic Nerve Head Tissues in Optical Coherence Tomography Images,[online],2018年03月01日,pp.1-19,https://arxiv.org/pdf/1803.00232v1.pdf,[retrieved on 2019.08.19], Retrieved from the Internet:
SHEET Debdoot,DEEP LEARNING OF TISSUE SPECIFIC SPECKLE REPRESENTATIONS IN OPTICAL COHERENCE TOMOGRAPHY AND DEEPER EXPLORATION FOR IN SITU HISTOLOGY,2015 IEEE 12th International Symposium on Biomedical Imaging (ISBI),IEEE,2015年04月,pp.777-780
Attorney, Agent or Firm:
Okabe
Takao Ochi
Koji Yoshizawa
Aki Honda
Takao Ochi
Koji Yoshizawa
Aki Honda
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