宫颈细胞图像智能分析关键技术研究.pdf

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1、分类号TP391学号13066011UDC004.93密级公开工学博士学位论文宫颈细胞图像智能分析关键技术研究博士生姓名赵理莉学科专业计算机科学与技术研究方向人工智能指导教师殷建平教授国防科学技术大学研究生院二〇一七年五月ResearchontheKeyTechnologiesoftheIntelligenceAnalysisforCervicalCellImagesCandidate:LiliZhaoSupervisor:Prof.JianpingYinAdissertationSubmittedinpartialfulfillmentoftherequirementsforth

2、edegreeofDoctorofEngineeringinComputerScienceandTechnologyGraduateSchoolofNationalUniversityofDefenseTechnologyChangsha,Hunan,P.R.ChinaMay,2017国防科学技术大学研究生院博士学位论文目录摘要........................................................................................................................iABSTRACT

3、...............................................................................................................iii第一章绪论............................................................................................................11.1研究背景...........................................................

4、........................................11.1.1宫颈细胞分析的必要性................................................................21.1.2宫颈细胞分析技术难点................................................................21.1.3宫颈细胞分析研究热度................................................................31.2研究现状......

5、.............................................................................................41.2.1宫颈细胞图像智能分析过程........................................................41.2.2宫颈细胞图像获取........................................................................61.2.3宫颈细胞图像滤波和分割........................

6、....................................71.2.4宫颈细胞的基本特征....................................................................151.2.5细胞图像特征提取和特征选择融合............................................171.2.6宫颈细胞分类................................................................................201.2.7性能评估指标...

7、.............................................................................211.2.8研究现状总结................................................................................211.3研究内容.........................................................