DLBCNet: A Deep Learning Network for Classifying Blood Cells

Zhu Ziquan; Ren Zeyu; Lu SiyuanWang ShuihuaZhang Yudong

首页> 外文期刊>Big Data and Cognitive Computing >DLBCNet: A Deep Learning Network for Classifying Blood Cells

【24h】

DLBCNet: A Deep Learning Network for Classifying Blood Cells

机译：

获取原文

获取原文并翻译 | 示例

获取外文期刊封面封底 >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

Background: Blood is responsible for delivering nutrients to various organs, which store important health information about the human body. Therefore, the diagnosis of blood can indirectly help doctors judge a person's physical state. Recently, researchers have applied deep learning (DL) to the automatic analysis of blood cells. However, there are still some deficiencies in these models. Methods: To cope with these issues, we propose a novel network for the multi-classification of blood cells, which is called DLBCNet. A new specifical model for blood cells (BCGAN) is designed to generate synthetic images. The pre-trained ResNet50 is implemented as the backbone model, which serves as the feature extractor. The extracted features are fed to the proposed ETRN to improve the multi-classification performance of blood cells. Results: The average accuracy, average sensitivity, average precision, average specificity, and average f1-score of the proposed model are 95.05, 93.25, 97.75, 93.72, and 95.38, accordingly. Conclusions: The performance of the proposed model surpasses other state-of-the-art methods in reported classification results.

著录项

来源
《Big Data and Cognitive Computing》 |2023年第2期|共20页
作者
Zhu Ziquan; Ren Zeyu; Lu SiyuanWang ShuihuaZhang Yudong;
展开▼
作者单位

Univ Leicester;

King Abdulaziz Univ;

Henan Polytech Univ;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词
blood cells; randomized neural network; ResNet50; generative adversarial networks; PERFORMANCE;

相似文献

外文文献
中文文献
专利

1. Study Data from Department of Computer Sciences and Engineering Provide New Insights into Brain Cancer (A Mass Correlation Based Deep Learning Approach Using Deep Convolutional Neural Network To Classify the Brain Tumor) [J] . Network Daily News . 2023,第3期

机译：Study Data from Department of Computer Sciences and Engineering Provide New Insights into Brain Cancer (A Mass Correlation Based Deep Learning Approach Using Deep Convolutional Neural Network To Classify the Brain Tumor)
2. Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome [J] . Viswanathan Aswathi, Kundal Kavita, Sengupta AvikKumar AmbujKumar Keerthana VinodHolmes Antony BKumar Rahul Briefings in functional genomics . 2023,第1期

机译：Deep learning-based classifier of diffuse large B-cell lymphoma cell-of-origin with clinical outcome
3. Applying machine learning to fine classify construction and demolition waste based on deep residual network and knowledge transfer [J] . Kunsen Lin, Youcai Zhao, Tingting ZhouXiaofeng GaoChunbo ZhangBeijia HuangQinyan Shi Environment, development and sustainability . 2023,第8期

机译：Applying machine learning to fine classify construction and demolition waste based on deep residual network and knowledge transfer
4. Credit Scoring Analysis Using B-Cell Algorithm and K-Nearest Neighbor Classifiers [C] . Cheng-An Li International Conference on Swarm Intelligence . 2013

机译：使用B-Cell算法和K-incelt Exbend Classifiers的信用评分分析
5. Learning Task-Oriented Dialog with Neural Network Methods =基于神经网络的任务型对话学习 [D] . Liu, Bing. 2018

机译：Learning Task-Oriented Dialog with Neural Network Methods =基于神经网络的任务型对话学习
6. Prediction Model of Aryl Hydrocarbon Receptor Activation by a Novel QSAR Approach DeepSnap–Deep Learning [O] . Yasunari Matsuzaka, Takuomi Hosaka, Anna Ogaito, 2020

机译：新型QSAR方法DeepSnap-Deep Learning的芳烃受体活化预测模型
7. Redes de aprendizaje, aprendizaje en red Learning Networks, Networked Learning [O] . Peter Sloep, Adriana Berlanga 2011

机译：Redes de aprendizaje，aprendizaje en red Learning Networks，Networked Learning
8. Automated testing of the Deep Space Network's Uplink Subsystem [R] . Duquette, W. 2002

机译：自动测试Deep space Network的上行子系统

DLBCNet: A Deep Learning Network for Classifying Blood Cells

摘要

著录项

相似文献

相关主题

期刊订阅