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An Overview of Biomedical Image Analysis From the Deep Learning Perspective

An Overview of Biomedical Image Analysis From the Deep Learning Perspective

Shouvik Chakraborty, Kalyani Mali
Copyright: © 2020 |Pages: 22
ISBN13: 9781799827368|ISBN10: 1799827364|ISBN13 Softcover: 9781799827375|EISBN13: 9781799827382
DOI: 10.4018/978-1-7998-2736-8.ch008
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MLA

Chakraborty, Shouvik, and Kalyani Mali. "An Overview of Biomedical Image Analysis From the Deep Learning Perspective." Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities, edited by Shouvik Chakraborty and Kalyani Mali, IGI Global, 2020, pp. 197-218. https://doi.org/10.4018/978-1-7998-2736-8.ch008

APA

Chakraborty, S. & Mali, K. (2020). An Overview of Biomedical Image Analysis From the Deep Learning Perspective. In S. Chakraborty & K. Mali (Eds.), Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities (pp. 197-218). IGI Global. https://doi.org/10.4018/978-1-7998-2736-8.ch008

Chicago

Chakraborty, Shouvik, and Kalyani Mali. "An Overview of Biomedical Image Analysis From the Deep Learning Perspective." In Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities, edited by Shouvik Chakraborty and Kalyani Mali, 197-218. Hershey, PA: IGI Global, 2020. https://doi.org/10.4018/978-1-7998-2736-8.ch008

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Abstract

Biomedical image analysis methods are gradually shifting towards computer-aided solutions from manual investigations to save time and improve the quality of the diagnosis. Deep learning-assisted biomedical image analysis is one of the major and active research areas. Several researchers are working in this domain because deep learning-assisted computer-aided diagnostic solutions are well known for their efficiency. In this chapter, a comprehensive overview of the deep learning-assisted biomedical image analysis methods is presented. This chapter can be helpful for the researchers to understand the recent developments and drawbacks of the present systems. The discussion is made from the perspective of the computer vision, pattern recognition, and artificial intelligence. This chapter can help to get future research directions to exploit the blessings of deep learning techniques for biomedical image analysis.

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