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An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph.

, , , , , and . Concurr. Comput. Pract. Exp., (2022)

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An integrated framework for COVID-19 classification based on classical and quantum transfer learning from a chest radiograph., , , , , and . Concurr. Comput. Pract. Exp., (2022)Microscopic parasite malaria classification using best feature selection based on generalized normal distribution optimization., , , , , and . PeerJ Comput. Sci., (2024)A New Approach for Brain Tumor Segmentation and Classification Based on Score Level Fusion Using Transfer Learning., , , , , and . J. Medical Syst., 43 (11): 326:1-326:16 (2019)Brain tumor detection using statistical and machine learning method., , , , and . Comput. Methods Programs Biomed., (2019)Detection of brain space-occupying lesions using quantum machine learning., , , and . Neural Comput. Appl., 35 (26): 19279-19295 (September 2023)Brain tumor detection based on extreme learning., , , , , and . Neural Comput. Appl., 32 (20): 15975-15987 (2020)A secure two-qubit quantum model for segmentation and classification of brain tumor using MRI images based on blockchain., , , and . Neural Comput. Appl., 34 (20): 17315-17328 (2022)Skin lesion segmentation and classification: A unified framework of deep neural network features fusion and selection., , , , , and . Expert Syst. J. Knowl. Eng., (2022)An Integrated Design Based on Dual Thresholding and Features Optimization for White Blood Cells Detection., , , , , , and . IEEE Access, (2021)Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning., , , , , , and . J. Medical Syst., 44 (2): 32 (2020)