Title:
生体粒子の分類のシステム及び方法
Document Type and Number:
Japanese Patent JP7465914
Kind Code:
B2
Abstract:
A method and system for classification of cells and particles in a biological sample using an automated image-based feature extraction and classification architecture. A method operates by applying a mask or series of masks to an image, extracting features from the unmasked portions of the image based on the content and location of colored pixels, selecting a subset of the extracted features, and mapping the subset of the extracted features into a classifier architecture. In a majority of cases, the first level model architecture provides an accurate identification of the cell or particle. In a minority of cases, the classification of the cell or particle requires a second level step requiring the use of numerical or categorical values from the first level in combination with a second level model.
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Inventors:
Carlos Ramirez
Stephen Kadavid
Jindan Zhou
Stephen Kadavid
Jindan Zhou
Application Number:
JP2022110246A
Publication Date:
April 11, 2024
Filing Date:
July 08, 2022
Export Citation:
Assignee:
Iris International, Incorporated
International Classes:
G01N33/49; G01N15/0227
Domestic Patent References:
| JP2004505233A |
Foreign References:
| US20040126008 | ||||
| US20150110348 |
Attorney, Agent or Firm:
Shusaku Yamamoto
Natsuki Morishita
Takatoshi Iida
Daisuke Ishikawa
Kensaku Yamamoto
Natsuki Morishita
Takatoshi Iida
Daisuke Ishikawa
Kensaku Yamamoto