DocumentCode :
3036231
Title :
Neural networks for cerebral diagnosis using PET and SPECT
Author :
Kosugi, Yukio ; Uto, Kuniaki ; Hagiwara, Ryoh ; Kosaka, Naoko ; Abe, Atushi ; Kameyama, Masashi ; Momose, Toshimitu
Author_Institution :
Tokyo Inst. of Technol., Japan
fYear :
2003
fDate :
20-22 Oct. 2003
Firstpage :
24
Lastpage :
27
Abstract :
In the interpretation of cerebral functional images such as PET (positron emission tomography) and SPECT (single photon emission CT), well-trained neural networks provide effectively diagnostic information. In this paper we discuss how to make use of a priori knowledge in the use of neural networks for the diagnostic analysis of cerebral functional images.
Keywords :
brain; diseases; medical image processing; medical signal detection; neural nets; neurophysiology; positron emission tomography; single photon emission computed tomography; PET; SPECT; cerebral diagnosis; cerebral diseases; cerebral functional images; neural networks; partial volume effect; positron emission tomography; regularization technique; single photon emission computed tomography; Blood flow; Degradation; Diseases; Image analysis; Kernel; Lattices; Neural networks; Positron emission tomography; Radiology; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Engineering, 2003. IEEE EMBS Asian-Pacific Conference on
Print_ISBN :
0-7803-7943-8
Type :
conf
DOI :
10.1109/APBME.2003.1302565
Filename :
1302565
Link To Document :
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