front cover of Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches
Fundamentals, technologies and applications
Chiranji Lal Chowdhary
The Institution of Engineering and Technology, 2021
Computer vision is an interdisciplinary scientific field that deals with how computers obtain, store, interpret and understand digital images or videos using artificial intelligence based on neural networks, machine learning and deep learning methodologies. They are used in countless applications such as image retrieval and classification, driving and transport monitoring, medical diagnostics and aerial monitoring.
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front cover of Medical Imaging Informatics
Medical Imaging Informatics
Machine learning, deep learning and big data analytics
Mamoon Rashid
The Institution of Engineering and Technology, 2024
Medical imaging informatics play an important role in the effectiveness of present-day healthcare systems. Advancement of artificial intelligence, big data analytics, and internet of things technologies contribute greatly to various healthcare applications. Artificial intelligence techniques are contributing to improvements with traditionally human-based systems and ensuring that the accuracy of prediction and diagnosis is being continually enhanced. The development of reliable and accurate healthcare models is becoming ever more possible with the help of machine learning and deep learning technologies. Artificial intelligence has the power to solve many complex problems in medical imaging and is a technology that will help to design the future of many healthcare systems.
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