DocumentCode
2580077
Title
Computational intelligence in surgery and diagnosis
Author
Micheli-Tzanakou, Evangelia
Author_Institution
Dept. of Biomed. Eng., Rutgers Univ., Piscataway, NJ, USA
Volume
4
fYear
1998
fDate
29 Oct-1 Nov 1998
Firstpage
1893
Abstract
We have used advanced signal processing and innovative image processing methods that are used outside the operating room. The software is written in C++ in a windows environment and can be used on any PC. We will demonstrate some applications on a laptop. Applications with computational intelligence for diagnostic purposes and as visualization aids are demonstrated, include blood cell classification, mammography, evoked potentials, ophthalmology, EEG and field potentials in Parkinson´s disease. The latter methods along with 3D reconstruction of MRI images of Parkinsonian patients, are currently used in the operating room for Pallidotomies
Keywords
bioelectric potentials; data visualisation; electrocardiography; electroencephalography; feature extraction; fractals; image reconstruction; mammography; medical expert systems; medical image processing; medical signal processing; neural nets; pattern classification; surgery; 3D reconstruction; ALOPEX method; C++ software; ECG analysis; EEG; MRI images; Pallidotomies; Parkinson´s disease; advanced signal processing; blood cell classification; computational intelligence; diagnosis; evoked potentials; feature extraction; field potentials; fractal dimension; hill climbing; image processing methods; laptop applications; mammography; neural networks; ophthalmology; surgery; visualization aids; windows environment; Application software; Blood; Cells (biology); Computational intelligence; Image processing; Mammography; Portable computers; Signal processing; Surgery; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 1998. Proceedings of the 20th Annual International Conference of the IEEE
Conference_Location
Hong Kong
ISSN
1094-687X
Print_ISBN
0-7803-5164-9
Type
conf
DOI
10.1109/IEMBS.1998.746966
Filename
746966
Link To Document