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What is Biomedical Image Analysis

Applications of Advanced Machine Intelligence in Computer Vision and Object Recognition: Emerging Research and Opportunities
Study of the biomedical images of various modalities using digital image processing techniques to detect and diagnose different diseases and help the medical investigation.
Published in Chapter:
A Brief Overview on Intelligent Computing-Based Biological Data and Image Analysis
Mousomi Roy (University of Kalyani, India)
DOI: 10.4018/978-1-7998-2736-8.ch003
Abstract
Biological data analysis is one of the most important and challenging tasks in today's world. Automated analysis of these data is necessary for quick and accurate diagnosis. Intelligent computing-based solutions are highly required to reduce the human intervention as well as time. Artificial intelligence-based methods are frequently used to analyze and mine information from biological data. There are several machine learning-based tools available, using which powerful and intelligent automated systems can be developed. In general, the amount and volume of this kind of data is quite huge and demands sophisticated tools that can efficiently handle this data and produce results within reasonable time by extracting useful information from big data. In this chapter, the authors have made a comprehensive study about different computer-aided automated methods and tools to analyze the different types of biological data. Moreover, this chapter gives an insight about various types of biological data and their real-life applications.
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More Results
An Overview of Biomedical Image Analysis From the Deep Learning Perspective
Study of the biomedical images of various modalities using digital image processing techniques to detect and diagnose different diseases and help the medical investigation.
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
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