Extracting, recognizing, and counting white blood cells from microscopic images by using complex-valued neural networks-Reference-Cited by-同舟云学术

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Extracting, recognizing, and counting white blood cells from microscopic images by using complex-valued neural networks

Published:2012 Issue:3 Volume:2 Page:169
ISSN:2228-7477
Container-title:Journal of Medical Signals & Sensors
language:en
Short-container-title:J Med Signals Sens

Author:

Akramifard Hamid,Firouzmand Mohammad,Moghadam Reza-Askari

Publisher

Medknow

Subject

Health Informatics,Radiology Nuclear Medicine and imaging,Biomedical Engineering,Radiological and Ultrasound Technology,Computer Science (miscellaneous)

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Study on Segmentation of Leukocyte Image With Shannon's Entropy;Research Anthology on Improving Medical Imaging Techniques for Analysis and Intervention;2022-09-09

2. Complex-Valued Neural Networks: A Comprehensive Survey;IEEE/CAA Journal of Automatica Sinica;2022-08

3. Recent computational methods for white blood cell nuclei segmentation: A comparative study;Computer Methods and Programs in Biomedicine;2019-05

4. Optimized Feed Forward Neural Network for Microscopic White Blood Cell Images Classification;Advances in Intelligent Systems and Computing;2019-03-17

5. A Study on Segmentation of Leukocyte Image With Shannon's Entropy;Histopathological Image Analysis in Medical Decision Making;2019

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