Multifractal Analysis of Histopathological Tissue Images

Type of content
Conference Contributions - Published
Publisher's DOI/URI
Thesis discipline
Degree name
Publisher
University of Canterbury. Computer Science and Software Engineering
University of Canterbury. Human Interface Technology Laboratory
Journal Title
Journal ISSN
Volume Title
Language
Date
2011
Authors
Tay, C.
Mukundan, R.
Racoceanu, D.
Abstract

Histopathological classification and grading of biopsy specimens play an important role in early cancer detection and prognosis. Nottingham scoring system is one of the standard grading procedures used in breast cancer assessment, where three parameters, Mitotic Count (MC), Nuclear Pleomorphism (NP), and Tubule Formation (TF) are used for prognostic information. The grading takes into account the deviations in cellular structures and appearance from normal, using measures such as density, size, colour and regularity. Cell structures in tissue images are also known to exhibit multifractal characteristics. This paper looks at the multifractal properties of several graded biopsy specimens and analyses the dependency and variation of the fractal parameters with respect to the scores assigned by pathologists.

Description
Citation
Tay, C., Mukundan, R., Racoceanu, D. (2011) Multifractal Analysis of Histopathological Tissue Images. Auckland, New Zealand: 26th International Conference Image and Vision Computing New Zealand (IVCNZ 2011), 29 Nov-1 Dec 2011. 80-85.
Keywords
breast cancer assessment, multifractal spectra, image analysis, histopathological classification, feature detection, cancer grading
Ngā upoko tukutuku/Māori subject headings
ANZSRC fields of research
Field of Research::11 - Medical and Health Sciences::1112 - Oncology and Carcinogenesis::111201 - Cancer Cell Biology
Fields of Research::46 - Information and computing sciences::4603 - Computer vision and multimedia computation::460306 - Image processing
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