CASIA OpenIR  > 中国科学院分子影像重点实验室
Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images
Hui Meng1,2; Yuan Gao1,2; Kun Wang1,2,3; Jie Tian1,3,4
2019
Conference NameSPIE Medical Imaging 2019
Conference Date2019.2.16-2019.2.21
Conference PlaceSan Diego, USA
Abstract

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.
 

KeywordHepatocellular Carcinoma Classification Metastasis Microscopic Imaging Machine Learning Convolutional Neural Networks (Cnn)
DOI10.1117/12.2512214
Indexed ByEI
Language英语
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Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/38534
Collection中国科学院分子影像重点实验室
Corresponding AuthorKun Wang; Jie Tian
Affiliation1.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
Recommended Citation
GB/T 7714
Hui Meng,Yuan Gao,Kun Wang,et al. Deep Learning Based Classification for Metastasis of Hepatocellular Carcinoma with Microscopic Images[C],2019.
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