Deep features based convolutional neural network to detect and automatic classification of white blood cells-Reference-Cited by-同舟云学术

Deep features based convolutional neural network to detect and automatic classification of white blood cells

Published:2022-09-26 Issue: Volume: Page:
ISSN:1868-5137
Container-title:Journal of Ambient Intelligence and Humanized Computing
language:en
Short-container-title:J Ambient Intell Human Comput

Author:

Yentrapragada Divyateja

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Link

https://link.springer.com/content/pdf/10.1007/s12652-022-04422-7.pdf

Reference44 articles.

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3. Almiani M, AbuGhazleh A, Al-Rahayfeh A, Atiewi S, Razaque A (2020) Deep recurrent neural network for IoT intrusion detection system. Simul Model Pract Theory 101:102031

4. Banik PP, Saha R, Kim K-D (2020) An automatic nucleus segmentation and CNN model based classification method of white blood cell. Expert Syst Appl 149:113211

5. Bhattacharyya T, Chatterjee B, Kumar Singh P, Hee Yoon J, Woo Geem Z, Sarkar R (2020) Mayfly in harmony: a new hybrid meta-heuristic feature selection algorithm. IEEE Access 8:195929–195945

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