A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification
文献类型：期刊论文
| 作者 | Li, Cheng; Zhou, Yongjin; Xu, Jingxu; Liu, Qiegen; Liu, Zaiyi; Wang, Meiyun; Zheng, Hairong; Wang, Shanshan |
| 刊名 | IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
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| 出版日期 | 2018 |
| 文献子类 | 期刊论文 |
| 英文摘要 | This paper proposes a segmentation-free radiomics method to classify malignant and benign breast tumors with shear-wave elastography (SWE) data. The method is targeted to integrate the advantage of both SWE in providing important elastic with morphology information and convolutional neural network (CNN) in automatic feature extraction and accurate classification. Compared to traditional methods, the proposed method is designed to directly extract features from the dataset without the prerequisite of segmentation andmanual operation. This can keep the peri-tumor information, which is lost by segmentation-based methods. With the proposed model trained on 540 images (318 of malignant breast tumors and 222 of benign breast tumors, respectively), an accuracy of 95.8%, a sensitivity of 96.2%, and a specificity of 95.7% was obtained for the final test. The superior performances compared to the existing state-of-the-art methods and its automatic nature both demonstrate that the proposed method has a great potential to be applied to clinical computer-aided diagnosis of breast cancer. |
| URL标识 | 查看原文 |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/14349]  |
| 专题 | 深圳先进技术研究院_医工所 |
| 推荐引用方式 GB/T 7714 | Li, Cheng,Zhou, Yongjin,Xu, Jingxu,et al. A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification[J]. IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING,2018. |
| APA | Li, Cheng.,Zhou, Yongjin.,Xu, Jingxu.,Liu, Qiegen.,Liu, Zaiyi.,...&Wang, Shanshan.(2018).A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification.IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING. |
| MLA | Li, Cheng,et al."A Radiomics Approach With CNN for Shear-Wave Elastography Breast Tumor Classification".IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2018). |
入库方式： OAI收割
来源：深圳先进技术研究院
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