Optimized Feed Forward Neural Network for Microscopic White Blood Cell Images Classification-Reference-Cited by-同舟云学术

Optimized Feed Forward Neural Network for Microscopic White Blood Cell Images Classification

Published:2019-03-17 Issue: Volume: Page:758-767
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Mohamed Shahd T.,Ebeid Hala M.,Hassanien Aboul Ella,Tolba Mohamed F.

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-14118-9_74

Reference23 articles.

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2. Prinyakupt, J., Pluempitiwiriyawej, C.: Segmentation of white blood cells and comparison of cell morphology by linear and naïve bayes classifiers. Biomed. Eng. online 14(1), 63 (2015)

3. Othman, M., Ali, A.: Segmentation and feature extraction of lymphocytes WBC using microscopic images. Int. J. Eng. Res. Technol. 3(12), 696–701 (2014)

4. Kovalev, V.A., Grigoriev, A.Y., Ahn, H.S., Myshkin, N.K.: Automatic localization and feature extraction of white blood cells. In: Medical Imaging 1995: Image Processing, vol. 2434, pp. 754–766. International Society for Optics and Photonics (1995)

5. Akramifard, H., Firouzmand, M., Moghadam, R.A.: Extracting, recognizing, and counting white blood cells from microscopic images by using complex-valued neural networks. J. Med. Signals Sens. 2(3), 169 (2012)

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