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Journal of Medical Systems
Published in: Journal of Medical Systems 5/2019

01-05-2019 | Ovarian Cancer | Systems-Level Quality Improvement

Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology

Authors: Qi Chen, Jianling Zhang

Published in: Journal of Medical Systems | Issue 5/2019

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Abstract

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.
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Metadata
Title
Classification and Recognition of Ovarian Cells Based on Two-Dimensional Light Scattering Technology
Authors
Qi Chen
Jianling Zhang
Publication date
01-05-2019
Publisher
Springer US
Published in
Journal of Medical Systems / Issue 5/2019
Print ISSN: 0148-5598
Electronic ISSN: 1573-689X
DOI
https://doi.org/10.1007/s10916-019-1211-y

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