Medical Imaging and Information Sciences
Online ISSN : 1880-4977
Print ISSN : 0910-1543
Invited Review Article (Special Lecture)
Bioimage-informatics with Mathematical Optimization and Machine Learning Techniques
Seiichi UCHIDA
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2017 Volume 34 Issue 2 Pages 25-31


This paper introduces bioimage-informatics, which is a rather new interdisciplinary research field by collaborations between biology and image informatics. Recent biology often needs to prove their biological findings through appropriate quantitative and objective analysis of bioimages, such as microscopic images or videos. Typical image analysis techniques are not sufficient for the bioimage analysis because bioimages has many difficulties ; for example, less spatiotemporal resolution, more noise, less appearance information, and more ambiguous object boundaries. We, therefore, need to develop new image analysis techniques with enough robustness to deal with those difficulties. An important approach to realize robust analysis is to introduce optimization methods and machine learning methods into image analysis techniques. This paper explains basic idea of those methods and their usefulness for bioimage-informatics.

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© 2017 by Japan Society of Medical Imaging and Information Sciences
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