Title :
Image and signal analysis in molecular biology and personalized medicine
Author_Institution :
Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales at ADFA, Canberra, ACT
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;
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
DOI :
10.1109/SSD.2009.4956807
