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个人信息Personal Information
教授 博士生导师
招生学科专业：
仪器科学与技术(生物医学信息与仪器) -- 【招收博士、硕士研究生】 -- 自动化学院
生物医学工程 -- 【招收硕士研究生】 -- 自动化学院
电子信息 -- 【招收博士、硕士研究生】 -- 自动化学院
性别：女
毕业院校：南京航空航天大学
学历：南京航空航天大学
学位：工学博士学位
所在单位：自动化学院
办公地点：南京航空航天大学自动化学院2号楼414
联系方式：ccxbme@nuaa.edu.cn
电子邮箱：
Image recognition of breast tumor proliferation level based on convolution neural network
点击次数：
所属单位：自动化学院
发表刊物：MCB Mol. Cell. Biomech.
摘要：Pathological slide is increasingly applied in the diagnosis of breast tumors despite the issues of large amount of data, slow viewing and high subjectivity. To overcome these problems, a micrograph recognition method based on convolutional neural network is proposed for pathological slide of breast tumor. Combined with multi-channel threshold and watershed segmentation, a sample database including single cell, adhesive cell and invalid cell was established. Then, the convolution neural network with six layers is constructed, which has ability to classify the stained breast tumor cells with accuracy of more than 90%, and evaluate the proliferation level with relative error of less than 5%. The experimental result indicates the effectiveness of this approach, and is useful for providing an objective basis for evaluating the malignancy of breast tumors. © 2018 Tech Science Press.
ISSN号：1556-5297
是否译文：否
发表时间：2018-01-01
合写作者：Yang, Junhao,Zang, Qingyang,Li, Jianfei
通讯作者：陈春晓