Title :
The image recognition of brain-stem ultrasound images with using a neural network based on PCA
Author :
Jiří Blahuta;Tomáš Soukup;Petr Čermák
Author_Institution :
Slezská
fDate :
5/1/2011 12:00:00 AM
Abstract :
This paper describes how to recognize substantia nigra (SN) area in ultrasound brain-stem images. The main goal is the classification of ROI SN in midbrain. The classification of images is useful to detection Parkinson´s disease (PD), defects in SN. Work is based on image processing and is realized with the help of artificial neural networks and solve is realized with MATLAB, with Image Processing and Neural Network Toolboxes.
Keywords :
"Tin","Ultrasonic imaging","Artificial neural networks","Principal component analysis","Biological neural networks","Image processing","MATLAB"
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2011 IEEE International Workshop on
Print_ISBN :
978-1-4244-9336-4
DOI :
10.1109/MeMeA.2011.5966644
