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Academic Journal

CODENET: A deep learning model for COVID-19 detection.

Authors : Ju H; Heilongjiang Agricultural Engineering Vocational College, China.; Cui Y

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning*; Humans

Source: Computers in biology and medicine [Comput Biol Med] 2024 Mar; Vol. 171, pp. 108229. Date of Electronic Publication: 2024 Feb 29.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Explainable deep learning diagnostic system for prediction of lung disease from medical images.

Authors : Hroub NA; SDAIA-KFUPM Joint Research Center for Artificial Intelligence, King Fahd University of Petroleum & Minerals, 31261, Dhahran, Saudi Arabia.; Alsannaa AN

Subjects: Deep Learning* ; COVID-19*/COVID-19*/COVID-19*/diagnostic imaging; Humans

Source: Computers in biology and medicine [Comput Biol Med] 2024 Mar; Vol. 170, pp. 108012. Date of Electronic Publication: 2024 Jan 19.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

"KAIZEN" method realizing implementation of deep-learning models for COVID-19 CT diagnosis in real world hospitals.

Authors : Okada N; Osaka General Medical Center, Osaka, Japan. .; Umemura Y

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning*; Humans

Source: Scientific reports [Sci Rep] 2024 Jan 19; Vol. 14 (1), pp. 1672. Date of Electronic Publication: 2024 Jan 19.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Potential diagnostic application of a novel deep learning- based approach for COVID-19.

Authors : Sadeghi A; Intelligent Mobile Robot Lab (IMRL), Department of Mechatronics Engineering, Faculty of New Sciences and Technologies, University of Tehran, Tehran, Iran.; Sadeghi M

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning*; Humans

Source: Scientific reports [Sci Rep] 2024 Jan 02; Vol. 14 (1), pp. 280. Date of Electronic Publication: 2024 Jan 02.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.

Authors : Talukder MA; Department of Computer Science and Engineering, Jagannath University, Dhaka, Bangladesh. Electronic address: .; Layek MA

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning*; Humans

Source: Computers in biology and medicine [Comput Biol Med] 2024 Jan; Vol. 168, pp. 107789. Date of Electronic Publication: 2023 Nov 30.Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN:

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Academic Journal

Diagnosis of COVID-19 with simultaneous accurate prediction of cardiac abnormalities from chest computed tomographic images.

Authors : Moitra M; Center for Blood Oxygen Transport and Hemostasis, Department of Pediatrics, University of Maryland Baltimore School of Medicine, Baltimore, Maryland, United States of America.; Department of Chemical, Biochemical and Environmental Engineering, University of Maryland Baltimore County, Baltimore, Maryland, United States of America.

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning* ; Pneumonia*

Source: PloS one [PLoS One] 2023 Dec 14; Vol. 18 (12), pp. e0290494. Date of Electronic Publication: 2023 Dec 14 (Print Publication: 2023).Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet

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Academic Journal

Diagnosis and detection of pneumonia using weak-label based on X-ray images: a multi-center study.

Authors : Guo K; Department of Biomedical Engineering, Chinese PLA General Hospital, Beijing, 100853, P.R. China.; Cheng J

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning* ; Pneumonia, Viral*

Source: BMC medical imaging [BMC Med Imaging] 2023 Dec 12; Vol. 23 (1), pp. 209. Date of Electronic Publication: 2023 Dec 12.Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342

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Academic Journal

How intra-source imbalanced datasets impact the performance of deep learning for COVID-19 diagnosis using chest X-ray images.

Authors : Zhang Z; Graduate School of Biomedical Engineering, Tohoku University, Sendai, 980-8576, Japan. .; Zhang X

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning*; Humans

Source: Scientific reports [Sci Rep] 2023 Nov 03; Vol. 13 (1), pp. 19049. Date of Electronic Publication: 2023 Nov 03.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

MultiCOVID: a multi modal deep learning approach for COVID-19 diagnosis.

Authors : Hardy-Werbin M; Cancer Research Program, IMIM (Hospital del Mar Medical Research Institute), Barcelona, Spain.; Emergency Department, Hospital del Mar, Barcelona, Spain.

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnosis ; Deep Learning* ; Pneumonia*

Source: Scientific reports [Sci Rep] 2023 Oct 31; Vol. 13 (1), pp. 18761. Date of Electronic Publication: 2023 Oct 31.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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Academic Journal

Computer-aided diagnosis of chest X-ray for COVID-19 diagnosis in external validation study by radiologists with and without deep learning system.

Authors : Miyazaki A; Department of Radiology, Kobe University Graduate School of Medicine, 7-5-2 Kusunoki-Cho, Chuo-Ku, Kobe, 650-0017, Japan.; Ikejima K

Subjects: COVID-19*/COVID-19*/COVID-19*/diagnostic imaging ; Deep Learning* ; Pneumonia*/Pneumonia*/Pneumonia*/diagnostic imaging

Source: Scientific reports [Sci Rep] 2023 Oct 16; Vol. 13 (1), pp. 17533. Date of Electronic Publication: 2023 Oct 16.Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN:

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