Titlebook: Innovative Systems for Intelligent Health Informatics; Data Science, Health Faisal Saeed,Fathey Mohammed,Abdulaziz Al-Nahari Conference pro

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A Comparative Study on Liver Tumor Detection Using CT Imagesed model obtained 93.15% in terms of testing accuracy, and it is the best classifier among deep learning models. The performance of deep learning models is very promising to take place in medical decisions.

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Brain Tumor Diagnosis System Based on RM Images: A Comparative Study different metrics including accuracy, precision, and recall. The best accuracy reached using machine learning algorithms is 85.56% accuracy with Random Forest, while the best classifier among applied deep learning algorithms is Inception V4 with 97.36%.

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Diagnosis of COVID-19 Disease Using Convolutional Neural Network Models Based Transfer Learningbetween pneumonia and COVID-19 disease. Thus, specialists need additional expensive tools to confirm their initial hypothesis or diagnosis using real-time polymerase chain reaction (RT-PCR) test or MRI imaging. However, a traditional diagnosis of COVID-19 or other pneumonia takes a lot of time from

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2367-4512 lligence, soft computing, data science, big data analytics, Internet of things (IoT), intelligent communication systems, information security, information systems, and software engineering. 978-3-030-70712-5978-3-030-70713-2Series ISSN 2367-4512 Series E-ISSN 2367-4520