Abstract
Artificial Intelligence (AI) and Deep Learning (DL) have been household names in research in the past decade. This chapter discusses the application of deep learning on healthcare, specifically in detection of cancer. It enumerates the state-of-art research work on lungs, liver, breast and brain cancer and then focuses on the scope of deep learning in healthcare, discussing some of the emerging areas of research. The chapter also touches upon the limitations of using deep learning as a standard vehicle of diagnostics in healthcare. As there is little doubt that the Deep Learning methods will find a strong foothold in the healthcare domain, this chapter elucidates the tenets of Deep Learning to data science practitioners and healthcare workers alike so that these methods can be better used for the welfare of life on Earth.
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Belhaouari, S.B., Islam, A. (2021). Deep Learning in Healthcare. In: Househ, M., Borycki, E., Kushniruk, A. (eds) Multiple Perspectives on Artificial Intelligence in Healthcare. Lecture Notes in Bioengineering. Springer, Cham. https://doi.org/10.1007/978-3-030-67303-1_13
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DOI: https://doi.org/10.1007/978-3-030-67303-1_13
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