Invention Grant
- Patent Title: Chromosome recognition method based on deep learning
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Application No.: US17272254Application Date: 2019-06-06
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Publication No.: US11436493B2Publication Date: 2022-09-06
- Inventor: Ning Song , Chaoyu Wu , Weiqi Ma
- Applicant: Hangzhou Diagens Biotech Co.,LTD.
- Applicant Address: CN Hangzhou
- Assignee: Hangzhou Diagens Biotech Co.,LTD.
- Current Assignee: Hangzhou Diagens Biotech Co.,LTD.
- Current Assignee Address: CN Hangzhou
- Agency: Bayramoglu Law Offices LLC
- Priority: CN201810979111 20180827
- International Application: PCT/CN2019/090230 WO 20190606
- International Announcement: WO2020/042704 WO 20200305
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06N3/12

Abstract:
A chromosome recognition method based on deep learning includes the following steps: step 1, obtaining an independent chromosome image; step 2, calculating a manual feature of a chromosome; step 3, performing basic image processing on the chromosome; step 4, building a deep learning model; and step 5, predicting a type of the chromosome based on the deep learning model. By adopting a deep learning method, the chromosome recognition method can be used for recognizing the chromosome type accurately and efficiently. Compared with an existing recognition technology, the chromosome recognition method based on deep learning of the present invention has the advantages that the chromosome karyotype analysis efficiency can be effectively improved, the recognition sequencing time can be shortened, automatic classification and sequencing of chromosomes can be completely with high accuracy.
Public/Granted literature
- US20210312285A1 CHROMOSOME RECOGNITION METHOD BASED ON DEEP LEARNING Public/Granted day:2021-10-07
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