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Image analysis of tissue sections

S H Ong1, X C Jin, Jayasooriah

  • 1Department of Electrical Engineering, National University of Singapore.

Computers in Biology and Medicine
|May 1, 1996
PubMed
Summary
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Computer-aided automated image analysis of tissue sections is crucial. This paper surveys current methods in image transformation, segmentation, and classification for digital pathology.

Area of Science:

  • Digital pathology
  • Computational biology
  • Medical imaging analysis

Background:

  • Automated image analysis of tissue sections is vital in modern research.
  • Advancements in computing power enable sophisticated analysis of histopathological data.

Purpose of the Study:

  • To provide a comprehensive overview of current methodologies in automated tissue section image analysis.
  • To summarize key developments in the field of digital pathology image analysis.

Main Methods:

  • Survey of image transformation techniques.
  • Review of image segmentation algorithms.
  • Analysis of image classification approaches.

Main Results:

  • Detailed examination of various image transformation methods.

Related Experiment Videos

  • Comprehensive summary of segmentation techniques for tissue analysis.
  • Overview of classification strategies applied to histopathological images.

    • Conclusions:

    • Automated image analysis is essential for advancing tissue research.
    • The field requires continued development in transformation, segmentation, and classification methods.