DocumentCode
2755422
Title
Tissue characterization of the prostate using Kohonen-maps
Author
Schmitz, G. ; Ermert, H. ; Senge, T.
Volume
3
fYear
1994
fDate
Oct. 31 1994-Nov. 3 1994
Firstpage
1487
Abstract
Although transrectal ultrasound is one of the most important tools in the diagnosis and early detection of prostatic cancer, the sensitivity and specificity of the standard sonographic methods are still insufficient. We describe a method which provides the clinician with additional information in the form of color-coded tissue characterization images based on the learning vector quantization (LVQ) algorithm proposed by Kohonen
Keywords
biomedical ultrasonics; image classification; image colour analysis; medical image processing; self-organising feature maps; vector quantisation; Kohonen-maps; clinician; color-coded tissue characterization images; diagnosis; early detection; learning vector quantization algorithm; prostate; prostatic cancer; standard sonographic methods; tissue characterization; transrectal ultrasound; Biological tissues; Biomedical acoustic imaging; Biomedical signal processing; Image classification; Image color analysis; Neural network applications; Reproductive system; Self-organizing feature maps; Vector quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Ultrasonics Symposium, 1994. Proceedings., 1994 IEEE
Conference_Location
Cannes, France
Print_ISBN
0-7803-2012-3
Type
conf
DOI
10.1109/ULTSYM.1994.401872
Filename
401872
Link To Document