This article is part of the supplement: Proceedings of the 11th European Congress on Telepathology and 5th International Congress on Virtual Microscopy
A simple mathematical model utilizing topological invariants for automatic detection of tumor areas in digital tissue images
1 Osaka University, the graduate school of medicine, division of health science, Yamadaoka, Suita, Osaka, 565-0871, Japan
2 Louis Pasteur center for medical research, Kyoto, department of clinical pathology research, Taniguchi Kakinouchi-Cho, Ukyo-Ku, Kyoto, 616-8012 , Japan
Diagnostic Pathology 2013, 8(Suppl 1):S27 doi:10.1186/1746-1596-8-S1-S27Published: 30 September 2013
First paragraph (this article has no abstract)
Pathological diagnosis starts usually from detection of morphological deviations of tissues and cells in question from their normal counterparts. Measurement and analysis of how they are deviated are the processes of actual pathological diagnosis and many of them can be achieved by computer using certain mathematical models. Computer assisted pathological diagnosis is now an issue of importance in the current situations of shortage of diagnostic pathologists in Japan. In the present study we propose a simple mathematical model to differentiate tumor tissues from their normal counterparts utilizing changes in the Betti numbers in tumorigenesis. We tested our method in several normal and tumor tissue images and preliminary results are reported.