Intestinal Polyp Recognition Based on Salient Codebook Locality-Constrained Linear Coding with Annular Spatial Pyramid Matching-Reference-Cited by-同舟云学术

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Intestinal Polyp Recognition Based on Salient Codebook Locality-Constrained Linear Coding with Annular Spatial Pyramid Matching

Published:2020-06-06 Issue:4 Volume:40 Page:473-483
ISSN:1609-0985
Container-title:Journal of Medical and Biological Engineering
language:en
Short-container-title:J. Med. Biol. Eng.

Author:

He Dongwei,Li Sheng^ORCID,He Xiongxiong,Chang Liping,Zhang Ni,Jiang Qianru

Funder

National Natural Science Foundation of China

Natural Science Foundation of Zhejiang Province

Key R & D Program Projects in Zhejiang Provin

Publisher

Springer Science and Business Media LLC

Subject

Biomedical Engineering,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s40846-020-00532-9.pdf

Reference32 articles.

1. Charfi, S., & Ansari, M. E. (2018). Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images. Multimedia Tools and Applications, 77(3), 4047–4064.

2. Hilsden, R. J., Heitman, S. J., Mizrahi, B., Narod, S. A., & Goshen, R. (2018). Prediction of findings at screening colonoscopy using a machine learning algorithm based on complete blood counts (colonflag). PLoS ONE, 13, 11.

3. Peery, A. F., Crockett, S. D., Murphy, C. C., Lund, J. L., Dellon, E. S., Williams, J. L., et al. (2018). Burden and cost of gastrointestinal, liver, and pancreatic diseases in the united states: Update 2018. Gastroenterology, 156, 1.

4. Iakovidis, D. K., Georgakopoulos, S. V., Vasilakakis, M., Koulaouzidis, A., & Plagianakos, V. P. (2018). Detecting and locating gastrointestinal anomalies using deep learning and iterative cluster unification. IEEE Transactions on Medical Imaging, 37(10), 2196–2210.

5. Hu, E., Sakanashi, H., Nosato, H., Takahashi, E., Suzuki, Y., Takeuchi, K., et al. (2016). Bleeding and tumor detection for capsule endoscopy images using improved geometric feature. Journal of Medical and Biological Engineering, 36, 344–356.

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