Machine Learning Algorithms at Myocardial Perfusion Imaging - a Preliminary Study

Vieira, Domingos; Silva, Emanuel; Machado, Maria; Cunha, Lídia; Metello, Luís F.

http://hdl.handle.net/10400.22/5558

Use this identifier to reference this record.

Name:	Description:	Size:	Format:
COM_MetelloLF_2010.pdf		332.43 KB	Adobe PDF	Download

Send Feedback

Authors

Abstract(s)

A major focus of data mining process - especially machine learning researches - is to automatically learn to recognize complex patterns and help to take the adequate decisions strictly based on the acquired data. Since imaging techniques like MPI – Myocardial Perfusion Imaging on Nuclear Cardiology, can implicate a huge part of the daily workflow and generate gigabytes of data, there could be advantages on Computerized Analysis of data over Human Analysis: shorter time, homogeneity and consistency, automatic recording of analysis results, relatively inexpensive, etc.