Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology.
Ovarian cancer is a very insidious malignant tumor. In order to detect ovarian cancer cells early, the classification and recognition of ovarian cancer cells is mainly studied by two-dimensional light scattering technology. Firstly, a single-cell two-dimensional light scattering pattern acquisition...
| Publicado en: | Journal of Medical Systems Vol. 43; no. 5 |
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| Autores principales: | , |
| Formato: | equations & formulas pictorial tables/charts Journal Article |
| Publicado: |
Springer Nature
May2019
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136129190&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 136129190 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: May2019 vid: 43 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 136129190 136129190 136129190 10.1007/s10916-019-1211-y 136129190 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology. aug: au: Chen, Qi Zhang, Jianling affil: Department of Gynaecology and Obstetrics, Zoucheng People's Hospital, No.59 Qianquan Road, 273500, Zoucheng, Shandong, China sug: subj: Ovarian Neoplasms Diagnosis Technology, Medical Image Processing, Computer Assisted Cell Line, Tumor Algorithms Fluorescence Polarization Fiber Optics Light ab: Ovarian cancer is a very insidious malignant tumor. In order to detect ovarian cancer cells early, the classification and recognition of ovarian cancer cells is mainly studied by two-dimensional light scattering technology. Firstly, a single-cell two-dimensional light scattering pattern acquisition platform based on single-mode optical fiber illumination is designed to collect a certain number of two-dimensional light scattering patterns of ovarian cancer cells and normal ovarian cells. Then, the HOG (Histogram of Oriented Gradient) algorithm is used to extract shaving anisotropy feature of two-dimensional light scattering pattern. The results show that the accuracy of classification and identification of ovarian cancer cells by two-dimensional light scattering technology is 90.81%, which suggests that the specificity of cancer cells and normal cells can be characterized by two-dimensional light scattering technology. pubtype: Academic Journal doctype: equations & formulas pictorial tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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