| 基于 YOLO 的染色体着丝粒识别方法研究 |
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| 引用本文： | 董娟聪,蒋文轩,原雅艺,党旭红. 基于 YOLO 的染色体着丝粒识别方法研究[J]. 辐射防护通讯, 2022, 42(4-5): 65-68 |
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| 作者姓名： | 董娟聪 蒋文轩 原雅艺 党旭红 |
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| 作者单位： | 1.中国辐射防护研究院,太原,030006; 2.广西科技大学,广西 柳州,545006 |
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| 摘 要： | 快速、准确识别染色体上的着丝粒,是实现染色体畸变自动化检测分析技术的关键环节之一。本研究利用计算机深度学习对荧光探针标记的染色体畸变图片着丝粒进行分析,初步实现了自动识别图像中的着丝粒,可为自动化检测染色体畸变系统的研发奠定一定的研究基础。
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| 关 键 词： | YOLO 染色体着丝粒 自动识别 |
| 收稿时间： | 2022-03-21 |
Study on Chromosome Centromere Recognition Method Based on YOLO |
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| Dong Juancong,Jiang Wenxuan,Yuan Yayi,Dang Xuhong. Study on Chromosome Centromere Recognition Method Based on YOLO[J]. Radiation Protection Bulletin, 2022, 42(4-5): 65-68 |
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| Authors: | Dong Juancong Jiang Wenxuan Yuan Yayi Dang Xuhong |
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| Affiliation: | 1. China Institute for Radiation Protection, Taiyuan, Shanxi 030006; 2. Guangxi University of Science and Technology, Liuzhou, Guangxi 545006 |
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| Abstract: | Rapid and accurate identification of centromere on chromosomes is one of the key steps to realize automatic analysis of chromosome aberrations. We employ computer deep learning to analyze chromosomal aberration images labeled by fluorescent probes. It realizes automatic recognition of centromere in the image, and is expected to provide technical support for the development of automatic determination system of chromosomal aberration. |
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| Keywords: | YOLO Chromosome aberration Automatic identification |
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