Title:
生物学的対象物の検出
Document Type and Number:
Japanese Patent JP6975177
Kind Code:
B2
Abstract:
As the capabilities of digital histopathology machines grows, there is an increasing need to ease the burden on pathology professionals of finding interesting structures in such images. Digital histopathology images can be at least several Gigabytes in size, and they may contain millions of cell structures of interest. Automated algorithms for finding structures in such images have been proposed, such as the Active Contour Model (ACM). The ACM algorithm can have difficulty detecting regions in images having variable colour or texture distributions. Such regions are often found in images containing cell nuclei, because nuclei do not always have a homogeneous appearance. The present application describes a technique to identify inhomogeneous structures, for example, cell nuclei, in digital histopathology information. It is proposed to search pre-computed super-pixel information using a morphological variable, such as a shape-compactness metric, to identify candidate objects.
Inventors:
Verekamp Christian
Application Number:
JP2018562623A
Publication Date:
December 01, 2021
Filing Date:
May 24, 2017
Export Citation:
Assignee:
KONINKLIJKE PHILIPS N.V.
International Classes:
G06T7/181; G01N33/48; G01N33/483; G06T7/00
Domestic Patent References:
| JP201599563A | ||||
| JP2006301779A | ||||
| JP2004286666A | ||||
| JP10312465A | ||||
| JP2008527546A |
Other References:
山田光一, 外2名,”領域形状に基づく領域抽出のための高速アルゴリズム”,電子情報通信学会技術研究報告,日本,社団法人電子情報通信学会,1994年02月18日,第93巻, 第479号,p.1-8
Hang Su, 外4名,"Interactive Cell Segmentation Based on Active and Semi-Supervised Learning",IEEE Transactions on Medical Imaging,第35巻, 第3号,米国,IEEE,2015年10月26日,p.762-777
Xiaoliang Tian, 外1名,"Point-cut: Fixation point-based image segmentation using random walk model",2015 IEEE International Conference on Image Processing (ICIP),米国,IEEE,2015年09月30日,p.2125-2129
Hang Su, 外4名,"Interactive Cell Segmentation Based on Active and Semi-Supervised Learning",IEEE Transactions on Medical Imaging,第35巻, 第3号,米国,IEEE,2015年10月26日,p.762-777
Xiaoliang Tian, 外1名,"Point-cut: Fixation point-based image segmentation using random walk model",2015 IEEE International Conference on Image Processing (ICIP),米国,IEEE,2015年09月30日,p.2125-2129
Attorney, Agent or Firm:
Patent Services Corporation m&s Partners