PID_14.pdf
by Turnitin LLC
Submission date: 25-Apr-2024 11:06AM (UTC-0400)
Submission ID: 2341285904
File name: tmpio85vgdu (680.58K)
Word count: 4096
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PID_14.pdf
ORIGINALITY REPORT
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Joy Wu, Yaniv Gur, Alexandros Karargyris, Ali
Bin Syed, Orest Boyko, Mehdi Moradi,
Tanveer Syeda-Mahmood. "Automatic
Bounding Box Annotation of Chest X-Ray
Data for Localization of Abnormalities", 2020
IEEE 17th International Symposium on
Biomedical Imaging (ISBI), 2020
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"ICI 2023 TOC", 2023 Second International
Conference on Informatics (ICI), 2023
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"Medical Image Computing and Computer
Assisted Intervention – MICCAI 2023",
Springer Science and Business Media LLC,
2023
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deepnewz.com
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Mohannad K. Jalehi, Baraa M. Albaker. "A
Comparison of Different Chest X-ray Datasets
with Fast Pre-Trained CNN Models in the
Detection of Covid-19 Infection", 2022 2nd
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Rex Paolo C. Gamara, Pocholo James M.
Loresco, Argel A. Bandala. "Medical Chest Xray Image Enhancement Based on CLAHE and
Wiener Filter for Deep Learning Data
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Lucky Indra Kesuma, Ermatita Ermatita, Erwin
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"Improved Chest X-Ray Image Quality Using
Median and Gaussian Filter Methods", 2022
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"Program", 2023 IEEE Afro-Mediterranean
Conference on Artificial Intelligence (AMCAI),
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Qingfeng Wang, Jie-Zhi Cheng, Ying Zhou,
Hang Zhuang, Changlong Li, Bo Chen, Zhiqin
Liu, Jun Huang, Chao Wang, Xuehai Zhou.
"Chapter 38 Low-Shot Multi-label Incremental
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Springer Science and Business Media LLC,
2018
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detection on chest radiograph with bounding
box-based lungs extraction and object
detection algorithm", International Journal of
Information Technology, 2024
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Castiglione, Michele Nappi, Shaohua Wan.
"CDT-CAD: Context-Aware Deformable
Transformers for End-to-End Chest
Abnormality Detection on X-Ray Images",
IEEE/ACM Transactions on Computational
Biology and Bioinformatics, 2024
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Pedrosa, Aurélio Campilho, Ana Maria
Mendonça. "STERN: Attention-driven Spatial
Transformer Network for abnormality
detection in chest X-ray images", Artificial
Intelligence in Medicine, 2024
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scholar.lib.ntnu.edu.tw
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Mainak Mitra, Soumit Roy. "Advancing COVID19 Diagnosis with CNNs: An Empirical Study
of Learning Rates and Optimization
Strategies", Intelligent Control and
Automation, 2023
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"ECR 2023 Book of Abstracts", Insights into
Imaging, 2023
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Amira Ouerhani, Souhaila Boulares, Halima
Mahjoubi. "Automated Detection of Pediatric
Pneumonia from Chest X-Ray Images Using
Deep Learning Models", 2023 IEEE Afro-
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