FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images-Reference-Cited by-同舟云学术

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FXAI: Fusing XAI for Predicting COVID-19 Using Diverse Chest X - Ray Images

Published:2023-11-17 Issue: Volume: Page:86-92
ISSN:
Container-title:2023 18th International Conference on Intelligent Systems and Knowledge Engineering (ISKE)
language:
Short-container-title:

Author:

Saleh Radhwan A. A.¹^ORCID,Farea Shawqi Mohammed²^ORCID,Al-Huda Zaid³^ORCID,Ertunc Metin¹^ORCID,Kvak Daniel⁴^ORCID,Al-antari Mugahed A.⁵^ORCID

Affiliation:

1. Kocaeli University,Department of Mechatronics Engineering,Kocaeli,Turkey,41001

2. Sabanci University,Faculty of Engineering and Natural Sciences,Istanbul,Turkey

3. School of Computing and Artificial Intelligence, Southwest Jiaotong University,Sichuan,China

4. CEO and Leader of AI R&D Carebot, Ltd.,Prague,Czech Republic,12800

5. Sejong University,Department of Artificial Intelligence DaeyangAICenter,Seoul,Republic of Korea,05006

Funder

National Research Foundation of Korea (NRF)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10480909/10480924/10481318.pdf?arnumber=10481318

Reference18 articles.

1. A deep learning self-attention cross residual network with Info-WGANGP for mitotic cell identification in HEp-2 medical microscopic images

2. MCLSG:Multi-modal classification of lung disease and severity grading framework using consolidated feature engineering mechanisms

3. Deep learning framework for rapid and accurate respiratory COVID-19 prediction using chest X-ray images

4. A Rapid Deep Learning Computer-Aided Diagnosis to Simultaneously Detect and Classify the Novel COVID-19 Pandemic

5. “Fast deep learning computer-aided diagnosis of COVID-19 based on digital chest x-ray images”

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