CN101493886B - 特征参数不完整情况下的细胞核分类与识别方法 - Google Patents
特征参数不完整情况下的细胞核分类与识别方法 Download PDFInfo
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CN102565316B (zh) * | 2010-12-08 | 2014-02-26 | 浙江海洋学院 | 外周血单个核细胞的核纹理分析方法 |
CN109325655A (zh) * | 2018-08-13 | 2019-02-12 | 平安科技(深圳)有限公司 | 人群绩效特征预测中的缺失特征处理方法及装置 |
CN111429761B (zh) * | 2020-02-28 | 2022-10-21 | 中国人民解放军陆军军医大学第二附属医院 | 一种骨髓细胞形态学人工智能模拟教学系统及其方法 |
CN116670688A (zh) * | 2020-11-24 | 2023-08-29 | 华为技术有限公司 | 一种数据处理的方法以及相关设备 |
CN113111796B (zh) * | 2021-04-19 | 2022-06-24 | 山东仕达思生物产业有限公司 | 一种芽生孢子的自动细化标注类别的检测识别方法 |
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CN101226155A (zh) * | 2007-12-21 | 2008-07-23 | 中国人民解放军第八一医院 | 智能化肺癌早期细胞病理图像识别处理方法 |
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Non-Patent Citations (2)
Title |
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孙玺菁等.支持向量机在缺失数据样本分类上的应用.《Rroceding of the 25th Chinese Control Conference》.2006,1137-1140. * |
罗双华等.缺失数据下局部线性回归估计的渐近性质.《兰州理工大学学报》.2007,第33卷(第1期),155-157. * |
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