Institutional Repository of Chinese Acad Sci, Inst Automat, CAS Key Lab Mol Imaging, Beijing 100190, Peoples R China
Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images | |
Meng, Hui1,2; Gao, Yuan1,2; Wang, Kun1,2,3; Tian, Jie1,3,4 | |
2019 | |
会议名称 | SPIE Medical Imaging 2019 |
会议日期 | 2019.2.16-2019.2.21 |
会议地点 | San Diego, USA |
摘要 | Hepatocellular carcinoma (HCC) is the second leading cause of cancer related death worldwide. The high probability of metastasis makes its prognosis very poor even after potentially curative treatment. Detecting high metastatic HCC will allow for the development of effective approaches to reduce HCC mortality. The mechanism of HCC metastasis has been studied using gene profiling analysis, which indicated that HCC with different metastatic capability was differentiable. However, it is time consuming and complex to analyze gene expression level with conventional method. To distinguish HCC with different metastatic capabilities, we proposed a deep learning based method with microscopic images in animal models. In this study, we adopted convolutional neural networks (CNN) to learn the deep features of microscopic images for classifying each image into low metastatic HCC or high metastatic HCC. We evaluated our proposed classification method on the dataset containing 1920 white-light microscopic images of frozen sections from three tumor-bearing mice injected with HCC-LM3 (high metastasis) tumor cells and another three tumor-bearing mice injected with SMMC-7721(low metastasis) tumor cells. Experimental results show that our method achieved an average accuracy of 0.85. The preliminary study demonstrated that our deep learning method has the potential to be applied to microscopic images for metastasis of HCC classification in animal models. |
关键词 | Hepatocellular Carcinoma Classification Metastasis Microscopic Imaging Machine Learning Convolutional Neural Networks (Cnn) |
DOI | 10.1117/12.2512214 |
收录类别 | EI |
语种 | 英语 |
七大方向——子方向分类 | 医学影像处理与分析 |
引用统计 | |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/38534 |
专题 | 中国科学院分子影像重点实验室 |
通讯作者 | Wang, Kun; Tian, Jie |
作者单位 | 1.CAS Key Laboratory of Molecular Imaging, Institute of Automation, Beijing, 100190, China 2.the University of Chinese Academy of Sciences, Beijing, 100049, China 3.Beijing Key Laboratory of Molecular Imaging, Beijing, 1000190, China 4.Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University, Beijing, 100191, China |
推荐引用方式 GB/T 7714 | Meng, Hui,Gao, Yuan,Wang, Kun,et al. Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images[C],2019. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
SPIE-MI-2019.pdf(1743KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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