Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images-Reference-Cited by-同舟云学术

Fast and Efficient Lung Abnormality Identification With Explainable AI: A Comprehensive Framework for Chest CT Scan and X-Ray Images

Published:2024 Issue: Volume:12 Page:31117-31135
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Hasan Md. Zahid¹^ORCID,Montaha Sidratul²,Khan Inam Ullah¹,Hassan Md. Mehedi³^ORCID,Mahmud Abdullah Al¹,Rafid A. K. M. Rakibul Haque¹,Azam Sami⁴^ORCID,Karim Asif⁴^ORCID,Prountzos Spyridon⁵^ORCID,Alexopoulou Efthymia⁵,Ashraf Umama Binta⁶,Islam Sheikh Mohammed Shariful⁷^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Health Informatics Research Laboratory (HIRL), Daffodil International University, Dhaka, Bangladesh

2. Department of Computer Science, University of Calgary, Calgary, AB, Canada

3. Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh

4. Faculty of Science and Technology, Charles Darwin University, Casuarina, NT, Australia

5. Second Department of Radiology, Faculty of Medicine, Attikon University General Hospital, National and Kapodistrian University of Athens, Athens, Greece

6. Department of Radiology and Imaging, BIRDEM General Hospital, Dhaka, Bangladesh

7. Institute for Physical Activity and Nutrition, Deakin University, Melbourne, VIC, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6287639/10380310/10445174.pdf?arnumber=10445174

Reference60 articles.

1. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of death, 1980–2015: a systematic analysis for the Global Burden of Disease Study 2015

2. Lung-GANs: Unsupervised Representation Learning for Lung Disease Classification Using Chest CT and X-Ray Images

3. On the Scientific Evaluation of Diagnostic Procedures

4. Toward Data-Model-Agnostic Autonomous Machine-Generated Data Labeling and Annotation Platform: COVID-19 Autoannotation Use Case

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