Classification of White Blood Cells Empowered with Auto Encoder and CNN-Reference-Cited by-同舟云学术

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Classification of White Blood Cells Empowered with Auto Encoder and CNN

Published:2022-10-06 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Cyber Resilience (ICCR)
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Author:

Alnawayseh Saif. E. A.¹,Al-Sit Waleed T.²,Alrababah Hamza³,Yasin Nasir Shahzad⁴,Fatima Mayraj⁵,Mehmood Nasir⁶

Affiliation:

1. Mutah Univesity,Faculty of Engineering,Electrical Engineering Department,Jordan

2. Mu'tah University,Department of Computer Engineering,Al-karak,Jordan

3. School of Information Technology, Skyline University College, University City Sharjah,Sharjah,UAE,1797

4. Riphah International University

5. PMAS-Arid Agriculture University,Rawalpindi,Pakistan

6. University of Engineering and Technology,Department of Computer Science,Lahore,Pakistan,54890

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9995718/9995732/09996048.pdf?arnumber=9996048

Reference47 articles.

1. Classification of white blood cells using weighted optimized deformable convolutional neural networks

2. Intelligent FSO Link for Communication in Natural Disasters empowered with Fuzzy Inference System

3. White blood cells detection and classification based on regional convolutional neural networks

4. IoT enabled smart monitoring of coronavirus empowered with fuzzy inference system;fatima;International Journal of Advance Research Ideas and Innovations in Technology,2020

5. Classification of White Blood Cells by Deep Learning Methods for Diagnosing Disease;yildirim;Artificial Intelligence Review,2019

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