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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Jun Wu Yuanyuan Wang Jinhua Yu Yue Chen Yun Pang Huaiyu Fan Zhiying Qiu |
| Copyright Year | 2014 |
| Description | Author affiliation: Dept. of Electron. Eng., Fudan Univ., Shanghai, China (Jun Wu; Yuanyuan Wang; Jinhua Yu) || Dept. of Med. Inf. Eng., Jining Med. Univ., Rizhao, China (Huaiyu Fan) || Dept. of Ultrasound, Fudan Univ., Shanghai, China (Yue Chen; Yun Pang; Zhiying Qiu) |
| Abstract | A textural feature extraction algorithm was proposed to automatically find candidate objects in the selected volume of interest (VOI) and compute textural features on multiplanar images for classification of the mesh and fascia. Firstly, candidate objects were found out in axial plane (A-plane) and coronal plane (C-plane) images with the preprocessing stage. Secondly, textural features of candidate objects were extracted from the gray level co-occurrence matrix (GLCM). Finally, each feature extractor was evaluated using the criterion of distances between classes. Results demonstrated that the proposed algorithm can effectively detect the mesh and fascia in automated 3D ultrasound images. It can also provide significant textural features in the C-plane to distinguish between the mesh and fascia. |
| Starting Page | 48 |
| Ending Page | 52 |
| File Size | 1126313 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781479939022 |
| e-ISBN | 9781479939039 |
| DOI | 10.1109/ICALIP.2014.7009755 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-07-07 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | abdominal wall hernia mesh Ultrasonic imaging Three-dimensional displays Breast coronal plane Feature extraction automated 3D ultrasound Fascia co-occurrence matrix Medical diagnostic imaging |
| Content Type | Text |
| Resource Type | Article |
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