Modified Backpropagation Algorithm for Polycystic Ovary Syndrome Detection Based on Ultrasound Images-Reference-Cited by-同舟云学术

Modified Backpropagation Algorithm for Polycystic Ovary Syndrome Detection Based on Ultrasound Images

Published:2016-12-29 Issue: Volume: Page:141-151
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Wisesty Untari N.,Nasri Jondri,Adiwijaya

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-51281-5_15

Reference12 articles.

1. Purnama, B., Wisesty, U.N., Adiwijaya, Nhita, F., Gayatri, A., Mutiah, T.: A classification of polycystic Ovary Syndrome based on follicle detection of ultrasound images. In: 3rd International Conference on Information and Communication Technology, pp. 396–401. IEEE Press, New York (2015)

2. Sheikhha, M.H., Seyed, M.K., Nasrin, G.: Genetics of polycystic ovary syndrome. Iran. J. Reprod. Med. 5(1), 1–5 (2006)

3. Adiwijaya, Faoziyah, P.N., Permana, F.P., Wirayuda, T.A.B., Wisesty, U.N.: Tamper detection and recovery of medical image watermarking using modified LSB and Huffman compression. In: 2nd International Conference on Informatics and Applications (ICIA) 2013, pp. 129–132. IEEE Press, New York (2013)

4. Adiwijaya, Purnama, B., Wisesty, U.N., Hasyim, A., Septiani, M., Astuti, W.: Follicle detection on the USG images to support determination polycystic ovary syndrome. J. Phys: Conf. Ser. 622, 012027 (2015). doi:10.1088/1742-6596/622/1/012027

5. Akkasaligar, P.T., Malagavi, G.V.: Detection of cysts in medical ultrasound images of ovary. In: Proceedings of SARC-IRF 5th International Conference Bangalore, India, ISBN 978-93-84209-13-1 (2014)

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