White Blood Cell Classification Using Convolutional Neural Network-Reference-Cited by-同舟云学术

White Blood Cell Classification Using Convolutional Neural Network

Published:2019 Issue: Volume: Page:135-143
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Sharma Mayank,Bhave Aishwarya,Janghel Rekh Ram

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-13-3600-3_13

Reference20 articles.

1. S. Manik, L.M. Saini, N. Vadera, Counting and classification of white blood cell using Artificial Neural Network (ANN), in IEEE International Conference on Power Electronics, Intelligent Control and Energy Systems (ICPEICES), IEEE (2016)

2. J. Chung et al., Counting white blood cells from a blood smear using fourier ptychographic microscopy. PloS one 10(7), e0133489 (2015)

3. M. Habibzadeh, A. Krzyak, T. Fevens, White Blood Cell Differential Counts Using Convolutional Neural Networks for Low Resolution Images and Soft Computing (Springer, Berlin, Heidelberg, 2013)

4. M. LaFleur-Brooks, Exploring medical language: a Student-Directed Approach (7th ed.). St. Louis, Missouri, US: Mosby Elsevier. p. 398. ISBN 978-0-323-04950-4 (2008)

5. G. Ongun, et al., An automated differential blood count system. Engineering in Medicine and Biology Society, in 2001 Proceedings of the 23rd Annual International Conference of the IEEE, vol. 3. IEEE (2001)

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