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    ARTICLE

    Robust Deep Learning Model for Black Fungus Detection Based on Gabor Filter and Transfer Learning

    Esraa Hassan1, Fatma M. Talaat1, Samah Adel2, Samir Abdelrazek3, Ahsan Aziz4, Yunyoung Nam4,*, Nora El-Rashidy1

    Computer Systems Science and Engineering, Vol.47, No.2, pp. 1507-1525, 2023, DOI:10.32604/csse.2023.037493 - 28 July 2023

    Abstract Black fungus is a rare and dangerous mycology that usually affects the brain and lungs and could be life-threatening in diabetic cases. Recently, some COVID-19 survivors, especially those with co-morbid diseases, have been susceptible to black fungus. Therefore, recovered COVID-19 patients should seek medical support when they notice mucormycosis symptoms. This paper proposes a novel ensemble deep-learning model that includes three pre-trained models: reset (50), VGG (19), and Inception. Our approach is medically intuitive and efficient compared to the traditional deep learning models. An image dataset was aggregated from various resources and divided into two More >

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