Image and signal analysis in molecular biology and personalized medicine

Author

Pham, Tuan D.

Author_Institution

Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales at ADFA, Canberra, ACT

fYear

2009

fDate

23-26 March 2009

Firstpage

1

Lastpage

9

Abstract

This paper addresses recent advances in computational tools for analysis of molecular imaging, medical imaging, and mass spectrometry data in cancer and cardiovascular diseases. These recently developed methods based on the principles of linear prediction, geostatistics, and fuzzy-set theory appear to be very useful sources of information for understanding the interactions and behaviors of complex biological networks and the development of predictive medicine.

Keywords

cancer; cardiology; fuzzy set theory; mass spectroscopy; medical image processing; molecular biophysics; statistical analysis; tumours; cancer disease; cardiovascular disease; fuzzy-set theory; geostatistics; image analysis; linear prediction; mass spectrometry data; molecular biology imaging; personalized medicine imaging; signal analysis; Bioinformatics; Biomedical imaging; Diseases; Humans; Mass spectroscopy; Molecular imaging; Optical imaging; Optical microscopy; Proteomics; Signal analysis; Bioimaging; Bioinformatics; Fuzzy sets; Geostatistics; Linear prediction; Medical imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Signals and Devices, 2009. SSD '09. 6th International Multi-Conference on

Conference_Location

Djerba

Print_ISBN

978-1-4244-4345-1

Electronic_ISBN

978-1-4244-4346-8

Type

conf

DOI

10.1109/SSD.2009.4956807

Filename

4956807