at Google ScholarTitle data
Bocklitz, Thomas ; Schmitt, Michael ; Popp, Jürgen:
Image Processing : Chemometric Approaches to Analyze Optical Molecular Images.
In: Popp, Jürgen
(ed.):
Ex-vivo and In-vivo Optical Molecular Pathology. -
Weinheim
: Wiley-VCH
,
2014
. - pp. 215-248
ISBN 9783527681921
DOI: https://doi.org/10.1002/9783527681921.ch7
Abstract in another language
For a careful analysis of disease induced microspectroscopic image alterations (e.g., identification of disease specific IR or Raman signatures) powerful image processing or chemometric approaches are required. This chapter summarizes the general concepts of chemometrics and image analysis for tissue classification and diagnostic evaluations. Besides image analysis methods, supervised statistical methods, such as classification procedures and multivariate calibration methods, are reviewed. In addition, unsupervised methods like cluster algorithms and factor analysis are introduced. The description tried to focus on the application and ideas rather than the basic mathematical principles. The chapter aims to be a guide through the visualization of the statistical methods, which are applied for the interpretation of spectroscopic results.
Further data
| Item Type: | Article in a book |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie > Lehrstuhl Künstliche Intelligenz in der Mikroskopie und Spektroskopie - Univ.-Prof. Dr. Thomas Wilhelm Bocklitz |
| Result of work at the UBT: | No |
| DDC Subjects: | 500 Science > 530 Physics |
| Date Deposited: | 19 May 2023 10:43 |
| Last Modified: | 19 May 2023 10:43 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/76288 |