CN103175834B - 一种数字病理切片质量检测方法和系统 - Google Patents
一种数字病理切片质量检测方法和系统 Download PDFInfo
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- CN103175834B CN103175834B CN201310030065.6A CN201310030065A CN103175834B CN 103175834 B CN103175834 B CN 103175834B CN 201310030065 A CN201310030065 A CN 201310030065A CN 103175834 B CN103175834 B CN 103175834B
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CN104316529A (zh) * | 2014-11-18 | 2015-01-28 | 宁波江丰生物信息技术有限公司 | 一种全自动的用于数字病理图像扫描的实时画质评价方法 |
CN105049851B (zh) * | 2015-07-06 | 2018-01-19 | 浙江理工大学 | 基于色彩感知的通用无参考图像质量评价方法 |
CN106780488B (zh) * | 2017-01-16 | 2021-05-11 | 宁波江丰生物信息技术有限公司 | 一种数字病理切片清晰度的检测系统及方法 |
CN109615613B (zh) * | 2018-11-22 | 2019-12-20 | 广州金域医学检验中心有限公司 | 病理切片染色质量评价方法、装置、计算机设备及存储介质 |
CN111986157B (zh) * | 2020-07-21 | 2024-02-09 | 万达信息股份有限公司 | 一种数字病理图像质量评价系统 |
CN112750121B (zh) * | 2021-01-20 | 2021-11-26 | 赛维森(广州)医疗科技服务有限公司 | 用于病理玻片数字图像质量检测的系统及其方法 |
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CN1462884A (zh) * | 2003-06-24 | 2003-12-24 | 南京大学 | 一种高精度、低假阴性率的肺癌细胞图像识别方法 |
CN102156129A (zh) * | 2009-12-02 | 2011-08-17 | 南京农业大学 | 一种基于机器视觉的牛肉品质智能分级系统及其方法 |
CN102305791A (zh) * | 2011-07-19 | 2012-01-04 | 南昌百特生物高新技术股份有限公司 | 一种玻片标本图像采集的方法 |
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JPH095245A (ja) * | 1995-06-16 | 1997-01-10 | S I I R D Center:Kk | 画質判定方法 |
EP1515278B1 (en) * | 2003-09-11 | 2007-02-28 | STMicroelectronics S.r.l. | Video compression using dithering |
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CN1462884A (zh) * | 2003-06-24 | 2003-12-24 | 南京大学 | 一种高精度、低假阴性率的肺癌细胞图像识别方法 |
CN102156129A (zh) * | 2009-12-02 | 2011-08-17 | 南京农业大学 | 一种基于机器视觉的牛肉品质智能分级系统及其方法 |
CN102305791A (zh) * | 2011-07-19 | 2012-01-04 | 南昌百特生物高新技术股份有限公司 | 一种玻片标本图像采集的方法 |
Non-Patent Citations (2)
Title |
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条形码检验信息系统在临床检验工作中的应用;吴治等;《护理学杂志》;20050831;第20卷(第15期);第46-47页 * |
病理切片图像分割技术的研究;宁旭等;《中国医学物理学杂志》;20050930;第22卷(第5期);第648-650页 * |
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