A novel method for mass spectrometry data representation and analysis
Paper i proceeding, 2010

In this paper a novel representation/analysis method on high throughput SELDI-TOF mass-spectroscopy data is developed. To avoid complexity of conventional methods, mass spectrum is converted to an intensity image and then image processing techniques is implemented to solve the cancer classification problem. The proposed system benefits a thoroughly novel and efficient idea to design an image-based pattern recognition system for cancer classification. The system is successfully validated using a well-known ovarian cancer proteomic dataset. Results of applying the method are comparable to state of the art methods in proteomic pattern recognition.

Författare

Mohammad Alipoor

Chalmers, Signaler och system, Signalbehandling och medicinsk teknik, Signalbehandling

17th Iranian Conference of Biomedical Engineering (ICBME), 2010

Styrkeområden

Livsvetenskaper och teknik

Ämneskategorier

Medicinsk bildbehandling

DOI

10.1109/ICBME.2010.5705024

ISBN

978-1-4244-7483-7

Mer information

Skapat

2017-10-07