Cellular Image Classification

This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applicat...

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Bibliographic Details
Main Authors: Xu, Xiang (Author), Wu, Xingkun (Author), Lin, Feng (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2017.
Imprint: Springer,
Edition:1st ed. 2017.
Subjects:
Signal processing.
Pattern recognition systems.
Biomathematics.
Signal, Speech and Image Processing .
Automated Pattern Recognition.
Mathematical and Computational Biology.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Fundamentals
  • Optical Systems for Cellular Imaging
  • Image Representation with Bag-of-Words
  • Image Coding
  • Encoding Image Features
  • Defining Feature Space for Image Classification
  • Conclusions and Perspectives.

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