DocumentCode :
1521588
Title :
Unsupervised approach for segmentation of textured cytologic images
Author :
Wu, H.-S. ; Gil, J. ; Jeremiah, R. ; Barba, J.
Author_Institution :
Dept. of Pathology, Mount Sinai Sch. of Med., New York, NY, USA
Volume :
35
Issue :
8
fYear :
1999
fDate :
4/15/1999 12:00:00 AM
Firstpage :
630
Lastpage :
631
Abstract :
A procedure is introduced for the segmentation of textured cytologic cell images. The cell region is determined by a set of coefficients that are gradually adjusted while minimising the defined cost function. Experiments have demonstrated the promising segmentation performance of the procedure for textured cytologic cell images
Keywords :
image segmentation; cost function; cytologic cell; pathology; textured image segmentation; unsupervised learning;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19990461
Filename :
770997
Link To Document :
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