Modified Convolutional Network for the Identification of Covid-19 with a Mobile System

被引：0
|
作者：
Lin Jzau-Sheng [1 ]
Fang Shen An [1 ]
Li Cheng Ze [1 ]
机构：
[1] Natl Chin Yi Univ Technol, Dept Comp Sci Informat Engn, Taichung, Taiwan
来源：
22ND IEEE/ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING AND PARALLEL/DISTRIBUTED COMPUTING (SNPD 2021-FALL) | 2021年
关键词：
COVID-19; Deep learning; MobileNet;
D O I：
10.1109/SNPD51163.2021.9705004
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, we modified a low-cost and rapid method to detect chest X-rays based on MobileNet. Because MobileNet is a lightweight neural network, we modified and optimized backpropagation learning to train the model. In the subsequent COVID-19, pneumonia, and normal tests, the recognition accuracy reached 99.14%, which greatly improved the performance of the model.Our scheme can produce an effective model suitable for low-performance mobile devices.
引用
收藏
页码：187 / 190
页数：4
相关论文
共 50 条
  • [1] An Enhanced Convolutional Neural Network for COVID-19 Detection
    Al-Janabi, Sameer I. Ali
    Al-Khateeb, Belal
    Mahmood, Maha
    Garcia-Zapirain, Begonya
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 28 (02) : 293 - 303
  • [2] COVID-19 classification based on a convolutional spiking neural network: A modified exponential IF neuron approach
    Kunduru V.R.
    Narayanam B.
    Measurement: Sensors, 2023, 29
  • [3] A Novel Convolutional Neural Network Architecture to Diagnose COVID-19
    Aara, Thabasum S.
    Pandian, Arunaggiri K.
    Kumar, Sai T. S.
    Prabalakshmi, A.
    ICSPC'21: 2021 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICPSC), 2021, : 595 - 599
  • [4] Deep Convolutional Neural Network Approach for COVID-19 Detection
    Xue, Yu
    Onzo, Bernard-Marie
    Mansour, Romany F.
    Su, Shoubao
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2022, 42 (01): : 201 - 211
  • [5] Detection of COVID-19 and Pneumonia Using Deep Convolutional Neural Network
    Islam, Md Saiful
    Das, Shuvo Jyoti
    Khan, Md Riajul Alam
    Momen, Sifat
    Mohammed, Nabeel
    COMPUTER SYSTEMS SCIENCE AND ENGINEERING, 2023, 44 (01): : 519 - 534
  • [6] Implementation of convolutional neural network approach for COVID-19 disease detection
    Irmak, Emrah
    PHYSIOLOGICAL GENOMICS, 2020, 52 (12) : 590 - 601
  • [7] Application of Convolutional Neural Network in Raman Spectral Recognition of Covid-19
    Zeng, Wandan
    Hang, Mangmang
    2022 6TH INTERNATIONAL CONFERENCE ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (ICCBB 2022), 2022, : 70 - 76
  • [8] Classifying COVID-19 Disinformation on Twitter using a Convolutional Neural Network
    Nabeel, Mohamad
    Grosse, Christine
    PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP), 2021, : 264 - 272
  • [9] Convolutional capsule network for COVID-19 detection using radiography images
    Tiwari, Shamik
    Jain, Anurag
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2021, 31 (02) : 525 - 539
  • [10] COVID-ConvNet: A Convolutional Neural Network Classifier for Diagnosing COVID-19 Infection
    Alablani, Ibtihal A. L.
    Alenazi, Mohammed J. F.
    DIAGNOSTICS, 2023, 13 (10)
12345