IJEEDC A Review of Machine Learning for Gamma-ray Imaging in Position Emission Tomography

Journal Paper

Paper Title :A Review of Machine Learning for Gamma-ray Imaging in Position Emission Tomography

Author :D.M.U.R.Dissanayake, K. A. Dilini T. Kulawansa

Article Citation :D.M.U.R.Dissanayake ,K. A. Dilini T. Kulawansa , (2019 ) " A Review of Machine Learning for Gamma-ray Imaging in Position Emission Tomography " , International Journal of Electrical, Electronics and Data Communication (IJEEDC) , pp. 39-43, Volume-7,Issue-12

Abstract : This paper provides a brief introduction to machine learning and its usage for medical imaging. It is shown that machine learning applications have a significant important in medical imaging. Here the main focus is about Positron Emission Tomography (PET) imaging. This provides information of different types of PET such as small animal PET, human brain focused functional PET system and Positron Emission Mammography and their current issues. Limitations of all these are also included. Introduction of gamma-rays and gamma-ray bursts is also included. Most importantly this describes about gamma-ray imaging in PET. And finally future development of this field is described. Keywords - PET, Gamma-ray, Machine Learning, Medical Imaging, Sensitivity

Type : Research paper

Published : Volume-7,Issue-12


	\|		PDF	\|	Viewed - 78	\|	Published on 2020-02-05

Jan. 2025
Submitted Papers	:	80
Accepted Papers	:	10
Rejected Papers	:	70
Acc. Perc	:	12%
Issue Published	:	141
Paper Published	:	1771
No. of Authors	:	4924

Published : Volume-7,Issue-12

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