Segmentation of radiology images using pulse-coupled neural networks /
Amr Hefny Muhammad
Segmentation of radiology images using pulse-coupled neural networks / تقسيم الصور الإشعاعية بإستخدام خوارزمي النبضة المتزاوجة للشبكات العصبية Amr Hefny Muhammad ; Supervised Laila Fahmi , Amr A. Badr - Cairo : Amr Hefny Muhammad , 2011 - 87 P. : facsimiles ; 25cm
Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics
This research develops an automated method for segmenting Magnetic Resonance (MR) brain images using Pulse Coupled Neural Networks (PCNN). MR brain image segmentation has proven difficult, primarily due to scanning artifacts such as interscan and intrascan intensity inhomogeneities. The method developed and presented here a PCNN to segment MR brain images after smooth it using PCNN it self and then detect brain tumors by comparing region properties by tumor properties
Image segmentation MR PCNN
Segmentation of radiology images using pulse-coupled neural networks / تقسيم الصور الإشعاعية بإستخدام خوارزمي النبضة المتزاوجة للشبكات العصبية Amr Hefny Muhammad ; Supervised Laila Fahmi , Amr A. Badr - Cairo : Amr Hefny Muhammad , 2011 - 87 P. : facsimiles ; 25cm
Thesis (M.Sc.) - Cairo University - Faculty of Science - Department of Mathematics
This research develops an automated method for segmenting Magnetic Resonance (MR) brain images using Pulse Coupled Neural Networks (PCNN). MR brain image segmentation has proven difficult, primarily due to scanning artifacts such as interscan and intrascan intensity inhomogeneities. The method developed and presented here a PCNN to segment MR brain images after smooth it using PCNN it self and then detect brain tumors by comparing region properties by tumor properties
Image segmentation MR PCNN