中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Deep learning based classification of breast tumors with shear-wave elastography.

文献类型:期刊论文

作者Zhang, Qi; Xiao, Yang; Dai, Wei; Suo, Jingfeng; Wang, Congzhi; Shi, Jun; Zheng, Hairong
刊名ULTRASONICS
出版日期2016
英文摘要This study aims to build a deep learning (DL) architecture for automated extraction of learned-from-data image features from the shear-wave elastography(SWE), and to evaluate the DL architecture in differentiation between benign and malignant breast tumors. We construct a two-layer DL architecture for SWE feature extraction, comprised of the point-wise gated Boltzmann machine (PGBM) and the restricted Boltzmann machine (RBM). The PGBM contains task-relevant and task-irrelevant hidden units, and the task-relevant units are connected to the RBM. Experimental evaluation was performed with five-fold cross validation on a set of 227 SWE images, 135 of benign tumors and 92 of malignant tumors, from 121 patients. The features learned with our DL architecture were compared with the statistical features quantifying image intensity and texture. Results showed that the DL features achieved better classificationperformance with an accuracy of 93.4%, a sensitivity of 88.6%, a specificity of 97.1%, and an area under the receiver operating characteristic curve of 0.947. The DL-based method integrates feature learning with feature selection on SWE. It may be potentially used in clinical computer-aided diagnosis of breastcancer.
收录类别SCI
原文出处http://www.sciencedirect.com/science/article/pii/S0041624X16301378
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/10477]  
专题深圳先进技术研究院_医工所
作者单位ULTRASONICS
推荐引用方式
GB/T 7714
Zhang, Qi,Xiao, Yang,Dai, Wei,et al. Deep learning based classification of breast tumors with shear-wave elastography.[J]. ULTRASONICS,2016.
APA Zhang, Qi.,Xiao, Yang.,Dai, Wei.,Suo, Jingfeng.,Wang, Congzhi.,...&Zheng, Hairong.(2016).Deep learning based classification of breast tumors with shear-wave elastography..ULTRASONICS.
MLA Zhang, Qi,et al."Deep learning based classification of breast tumors with shear-wave elastography.".ULTRASONICS (2016).

入库方式: OAI收割

来源:深圳先进技术研究院

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