Detection of COVID 19 from CT Image by The Novel LeNet-5 CNN Architecture-Reference-Cited by-同舟云学术

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Detection of COVID 19 from CT Image by The Novel LeNet-5 CNN Architecture

Published:2020-12-19 Issue: Volume: Page:
ISSN:
Container-title:2020 23rd International Conference on Computer and Information Technology (ICCIT)
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Author:

Islam Md. Rakibul,Matin Abdul

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9392385/9392586/09392723.pdf?arnumber=9392723

Cited by 31 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 Systematic Review of Real-Time Deep Learning Methods for Image-Based Cancer Diagnostics;Journal of Multidisciplinary Healthcare;2024-09

2. Multifaceted Disease Diagnosis: Leveraging Transfer Learning with Deep Convolutional Neural Networks on Chest X-Rays for COVID-19, Pneumonia, and Tuberculosis;The Open Bioinformatics Journal;2024-07-05

3. A deep learning approach for Maize Lethal Necrosis and Maize Streak Virus disease detection;Machine Learning with Applications;2024-06

4. ED-YOLO: A Deep Learning and Edge Detection Based Turnout Switch Gap Monitor Method;2024 IEEE 14th International Conference on Electronics Information and Emergency Communication (ICEIEC);2024-05-24

5. Automated Detection of COVID-19 from Multimodal Imaging Data Using Optimized Convolutional Neural Network Model;Journal of Imaging Informatics in Medicine;2024-03-18

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