DocumentCode
3016698
Title
The detection of single hepatocytes within clusters in microscopic images
Author
Gadkari, Manoj S. ; Refai, Hazem H. ; Sluss, James J., Jr. ; Broughan, Thomas A. ; Teague, T. Kent ; Naukam, R.
Author_Institution
Sch. of Electr. & Comput. Eng., Univ. of Oklahoma, Tulsa, OK, USA
fYear
2004
fDate
28-30 March 2004
Firstpage
192
Lastpage
195
Abstract
The paper presents a novel method to detect and count dead and live hepatocytes (liver cells) within clusters. The new method distinguishes single cells from clusters in digital microscopic images based on cell shape rather than size. The new method shows an improvement when compared to an earlier algorithm, especially in images where cells have varying sizes.
Keywords
cellular biophysics; medical image processing; object detection; optical microscopy; cell shape; liver cells; microscope images; multicellular structures; single hepatocyte detection; Biomedical imaging; Cells (biology); Clustering algorithms; Educational institutions; Image segmentation; Microscopy; Shape; Surface morphology; Surgery; Suspensions;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Analysis and Interpretation, 2004. 6th IEEE Southwest Symposium on
Print_ISBN
0-7803-8387-7
Type
conf
DOI
10.1109/IAI.2004.1300972
Filename
1300972
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