SONOELASTOMICS FOR BREAST TUMOR CLASSIFICATION: A RADIOMICS APPROACH WITH CLUSTERING-BASED FEATURE SELECTION ON SONOELASTOGRAPHY.
文献类型：期刊论文
| 作者 | Yu, Jinhua; Shi, Jun; Suo, Jingfeng; Xiao, Yang; Zhang, Qi; Guo, Yi; Wang, Yuanyuan; Zheng, Hairong |
| 刊名 | ULTRASOUND IN MEDICINE AND BIOLOGY
 |
| 出版日期 | 2017 |
| 文献子类 | 期刊论文 |
| 英文摘要 | A radiomics approach to sonoelastography, called "sonoelastomics,'' is proposed for classification of benign and malignant breast tumors. From sonoelastograms of breast tumors, a high-throughput 364-dimensional feature set was calculated consisting of shape features, intensity statistics, gray-level co-occurrence matrix texture features and contourlet texture features, which quantified the shape, hardness and hardness heterogeneity of a tumor. The high-throughput features were then selected for feature reduction using hierarchical clustering and three-feature selection metrics. For a data set containing 42 malignant and 75 benign tumors from 117 patients, seven selected sonoelastomic features achieved an area under the receiver operating characteristic curve of 0.917, an accuracy of 88.0%, a sensitivity of 85.7% and a specificity of 89.3% in a validation set via the leave-one-out cross-validation, revealing superiority over the principal component analysis, deep polynomial networks and manually selected features. The sonoelastomic features are valuable in breast tumordifferentiation. (C) 2017 World Federation for Ultrasound in Medicine & Biology. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/12069]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 作者单位 | ULTRASOUND IN MEDICINE AND BIOLOGY |
| 推荐引用方式 GB/T 7714 | Yu, Jinhua,Shi, Jun,Suo, Jingfeng,et al. SONOELASTOMICS FOR BREAST TUMOR CLASSIFICATION: A RADIOMICS APPROACH WITH CLUSTERING-BASED FEATURE SELECTION ON SONOELASTOGRAPHY.[J]. ULTRASOUND IN MEDICINE AND BIOLOGY,2017. |
| APA | Yu, Jinhua.,Shi, Jun.,Suo, Jingfeng.,Xiao, Yang.,Zhang, Qi.,...&Zheng, Hairong.(2017).SONOELASTOMICS FOR BREAST TUMOR CLASSIFICATION: A RADIOMICS APPROACH WITH CLUSTERING-BASED FEATURE SELECTION ON SONOELASTOGRAPHY..ULTRASOUND IN MEDICINE AND BIOLOGY. |
| MLA | Yu, Jinhua,et al."SONOELASTOMICS FOR BREAST TUMOR CLASSIFICATION: A RADIOMICS APPROACH WITH CLUSTERING-BASED FEATURE SELECTION ON SONOELASTOGRAPHY.".ULTRASOUND IN MEDICINE AND BIOLOGY (2017). |
入库方式： OAI收割
来源：深圳先进技术研究院
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