2019年
Automatic Segmentation Method of Phalange Regions Based on Residual U-Net and MSGVF Snakes
2019 19TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS 2019)
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- 開始ページ
- 1046
- 終了ページ
- 1049
- 記述言語
- 英語
- 掲載種別
- 出版者・発行元
- IEEE
Bone diseases include rheumatoid arthritis and osteoporosis. Although visual screening using computed radiography (CR) images is an effective method for diagnosing osteoporosis, there are some similar diseases that exhibit low bone mass status. To this end, we aim to develop a computer-aided diagnostic (CAD) system to support the automatic diagnosis of osteoporosis from CR images. In this paper, we use convolutional neural network (CNN) and multiscale gradient vector flow snakes (MSGVF Snakes) algorithms to segment each finger bone regions from the CR image. The proposed method is applied to 15 cases, 92.95 [%] of the true positive rates, 2.21 [%] of the false positive rates, 7.05 [%] of the false negative rates are obtained respectively.
- リンク情報
- ID情報
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- ISSN : 2093-7121
- Web of Science ID : WOS:000555707100148