Walid El-Shafai1, Samy Abd El-Nabi1,2, El-Sayed M. El-Rabaie1, Anas M. Ali1,2, Naglaa F. Soliman3,*, Abeer D. Algarni3, Fathi E. Abd El-Samie1,3
CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6107-6125, 2022, DOI:10.32604/cmc.2022.020698
Abstract Effective medical diagnosis is dramatically expensive, especially in third-world countries. One of the common diseases is pneumonia, and because of the remarkable similarity between its types and the limited number of medical images for recent diseases related to pneumonia, the medical diagnosis of these diseases is a significant challenge. Hence, transfer learning represents a promising solution in transferring knowledge from generic tasks to specific tasks. Unfortunately, experimentation and utilization of different models of transfer learning do not achieve satisfactory results. In this study, we suggest the implementation of an automatic detection model, namely CADTra, to efficiently diagnose pneumonia-related diseases. This… More >
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