2019年2月12日
Ovarian follicle classification using numerical and B-mode image features from ultrasound scanning devices
2018 Joint 7th International Conference on Informatics, Electronics and Vision and 2nd International Conference on Imaging, Vision and Pattern Recognition, ICIEV-IVPR 2018
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- 開始ページ
- 222
- 終了ページ
- 227
- 記述言語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1109/ICIEV.2018.8641071
© 2018 IEEE. In this paper, we propose a new approach to classify ovarian follicles into two classes. A smoothing filter which is designed to consider speckle patterns under the resolution of the ultrasound devices is applied for filtering ovarian follicle images. Then, convolutional neural networks are used for extracting features from the filtered ovarian follicle images. Finally, both features extracted by CNNs from the filtered ovarian follicle images and numerical features defined by our previous works are used for classification. From experimental results, we show the effectiveness of our proposed method.
- リンク情報
- ID情報
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- DOI : 10.1109/ICIEV.2018.8641071
- SCOPUS ID : 85063228710