Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer-Reference-Cited by-同舟云学术

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Pre-trained Deep Learning Models for COVID19 Classification: CNNs vs. Vision Transformer

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Sufian Maisarah Mohd¹,Moung Ervin Gubin¹,Dargham Jamal Ahmad²,Yahya Farashazillah¹,Omatu Sigeru³

Affiliation:

1. Universiti Malaysia Sabah,Faculty of Computing and Informatics,Kota Kinabalu,Sabah,Malayisa

2. Universiti Malaysia,Faculty of Egineering,Sabah Kota Kinabalu,Sabah,Malaysia

3. Digital Monozukri Education Research Centre, Hiroshima University,Kagamiyama,Higashi-Hiroshima,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9936688/9936734/09936852.pdf?arnumber=9936852

Reference32 articles.

1. Lightweight Local Transformer for COVID-19 Detection Using Chest CT Scans

2. COVID-19 Detection in CT/X-ray Imagery Using Vision Transformers

3. Deep Learning Feature Extraction for COVID19 Detection Algorithm using Computerized Tomography Scan

4. Attention is all you need;vaswani;Adv Neural Inf Process Syst,2017

Cited by 2 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. Recent progress in transformer-based medical image analysis;Computers in Biology and Medicine;2023-09

2. COVID-19 Classification through Deep Learning Models with Three-Channel Grayscale CT Images;Big Data and Cognitive Computing;2023-02-16

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