A new superfluity deep learning model for detecting knee osteoporosis and osteopenia in X-ray images

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: 1 Online-Ressource.

Language: Englisch

Bibliographic citation: A new superfluity deep learning model for detecting knee osteoporosis and osteopenia in X-ray images ; volume:14 ; number:1 ; day:25 ; month:10 ; year:2024 ; pages:1-18 ; date:12.2024
Scientific reports ; 14, Heft 1 (25.10.2024), 1-18, 12.2024

Creator: Naguib, Soaad M.
Saleh, Mohammed K.
Hamza, Hanaa M.
Hosny, Khalid M.
Kassem, Mohamed A.

Contributor: SpringerLink (Online service)

DOI: 10.1038/s41598-024-75549-0

URN: urn:nbn:de:101:1-2501152116281.702341820685

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:31 AM CEST

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Naguib, Soaad M.
Saleh, Mohammed K.
Hamza, Hanaa M.
Hosny, Khalid M.
Kassem, Mohamed A.
SpringerLink (Online service)

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A new superfluity deep learning model for detecting knee osteoporosis and osteopenia in X-ray images

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Other Objects (12)

Diagnostic Validity of Orthopantomogram Compared to Dual Energy X-ray Absorptiometry Scan in Detecting Osteoporosis

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Knee Osteoporosis Diagnosis Based on Deep Learning

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images

Comparative analysis of vision transformers and convolutional neural networks in osteoporosis detection from X-ray images

Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering

Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method

Detecting seasonal ice dynamics in satellite images

Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images

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Knee Osteoporosis Diagnosis Based on Deep Learning

Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images

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Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering

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Detecting fluorescent dark matter with X-ray lasers

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Detecting COVID-19 patients via MLES-Net deep learning models from X-Ray images

Ensemble deep-learning networks for automated osteoarthritis grading in knee X-ray images

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Recognizing and detecting COVID-19 in chest X-ray images using constrained multi-view spectral clustering

Automatic knee osteoarthritis severity grading based on X-ray images using a hierarchical classification method

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