Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques

Ibraheem, Mai Ramadan; Almuayqil, Saleh Naif; El-Aziz, A. A. Abd; Tawfeek, Medhat A.; Talaat, Fatma M.

doi:10.1016/j.eij.2023.100391

Egyptian Informatics Journal

2023

DOI: 10.1016/j.eij.2023.100391

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Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques

Mai Ramadan Ibraheem

Saleh Naif Almuayqil

A. A. Abd El-Aziz

et al.

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2024

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Cited by 1 publication

References 33 publications

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Deep attention for enhanced OCT image analysis in clinical retinal diagnosis

Talaat,

Ali,

ElGendy

et al. 2024

Neural Comput & Applic

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Retinal illnesses such as age-related macular degeneration (AMD) and diabetic maculopathy pose serious risks to vision in the developed world. The diagnosis and assessment of these disorders have undergone revolutionary change with the development of optical coherence tomography (OCT). This study proposes a novel method for improving clinical precision in retinal disease diagnosis by utilizing the strength of Attention-Based DenseNet, a deep learning architecture with attention processes. For model building and evaluation, a dataset of 84495 high-resolution OCT images divided into NORMAL, CNV, DME, and DRUSEN classes was used. Data augmentation techniques were employed to enhance the model's robustness. The Attention-Based DenseNet model achieved a validation accuracy of 0.9167 with a batch size of 32 and 50 training epochs. This discovery presents a promising route for more precise and speedy identification of retinal illnesses, ultimately enhancing patient care and outcomes in clinical settings by integrating cutting-edge technology with powerful neural network architectures.

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Deep attention for enhanced OCT image analysis in clinical retinal diagnosis

Talaat,

Ali,

ElGendy

et al. 2024

Neural Comput & Applic

View full text Add to dashboard Cite

show abstract

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Diagnosis of patellofemoral osteoarthritis using enhanced sequential deep learning techniques

Cited by 1 publication

References 33 publications

Deep attention for enhanced OCT image analysis in clinical retinal diagnosis

Deep attention for enhanced OCT image analysis in clinical retinal diagnosis

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