Image segmentation using an adaptive clustering technique for the detection of acute leukemia blood cells images
Clustering is one of the most common automated image segmentation techniques used in many fields including machine learning, pattern recognition, image processing, and bioinformatics. Recently many scientists have performed tremendous research in helping the hematologists in the issue of segmenting...
Saved in:
Main Authors: | F.H.A., Jabar,, W., Ismail,, R.A., Salam,, R, Hassan, |
---|---|
Format: | Conference Paper |
Language: | en_US |
Published: |
IEEE Computer Society
2015
|
Subjects: | |
Online Access: | http://ddms.usim.edu.my/handle/123456789/9204 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Cluster approach for auto segmentation of blast in acute leukimia blood slide images
by: N. H., Harun, et al.
Published: (2011) -
Blood cell image segmentation using hybrid K-means and median-cut algorithms
by: T.Z.T., Muda,, et al.
Published: (2015) -
Unsupervised colour segmentation of white blood cell for acute leukaemia images
by: A. S., Abdul Nasir, et al.
Published: (2011) -
An overview of acute leukemia: Blood cell segmentation and classification
by: Lim, Huey Nee, et al.
Published: (2013) -
Comparison of acute leukemia image segmentation using HSI and RGB color space
by: Nor Hazlyna, Harun, et al.
Published: (2011)