Title:
デジタル病理画像の変換
Document Type and Number:
Japanese Patent JP7308848
Kind Code:
B2
Abstract:
The invention relates to a method of identifying a biomarker in a tissue sample. The method comprises receiving an acquired image depicting a tissue sample, the pixel intensity values of the acquired image correlating with an autofluorescence signal or of an X-ray induced signal or a signal of a non-biomarker specific stain or a signal of a first biomarker specific stain adapted to selectively stain a first biomarker. The acquired image is input into a trained machine learning logic—MLL which automatically transforms the acquired image into an output image highlighting tissue regions predicted to comprise a second biomarker.
Inventors:
Cryman, Eldad
Application Number:
JP2020542268A
Publication Date:
July 14, 2023
Filing Date:
February 08, 2019
Export Citation:
Assignee:
Ef Hoffman-La Roche Akchengezel Shaft
International Classes:
G01N33/53; G01N21/27; G01N33/48; G01N33/483; G01N33/533; G01N33/535; G06T1/00; G06T5/00; G06T7/00
Domestic Patent References:
| JP2017021028A | ||||
| JP2016513794A | ||||
| JP2014506122A |
Other References:
Towards Virtual H&E Staining of Hyperspectral Lung Histology Images Using Conditional Generative Adversarial Networks,2017 IEEE International Conference on Computer Vision Workshops (ICCVW),2017年10月,pp.64-71,https://openaccess.thecvf.com/content_ICCV_2017_workshops/w1/html/Bayramoglu_Towards_Virtual_HE_ICCV_2017_paper.html
Attorney, Agent or Firm:
Sonoda & Kobayashi Patent Attorneys Corporation