Useful GLCM textural properties in the classification of colonic mucosa microscopic images
This paper reports about extraction and analysis of textural features of colonic mucosa microscopic images. The data presented here is a preliminary result of a much larger study on automatic classification of colonic mucosa microscopic images using textural features and AI structures proposed by Ga...
Saved in:
Main Authors: | Gan Lim, Laurence A., Naguib, Raouf N. G., Dadios, Elmer P., de la Fuente, Debbie |
---|---|
Format: | text |
Published: |
Animo Repository
2007
|
Subjects: | |
Online Access: | https://animorepository.dlsu.edu.ph/faculty_research/5832 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Similar Items
-
Image classification of microscopic colonic images using textural properties and KSOM
by: Gan Lim, Laurence A., et al.
Published: (2010) -
Methodology for the development of an automatic classifier for colonic mucosa microscopic images using hybrid GA-NN-FL
by: Gan Lim, Laurence A., et al.
Published: (2022) -
Using k-means clustering to classify microscopic colon images
by: Gan Lim, Laurence A., et al.
Published: (2008) -
Using hyperchromasia to classify colonic microscopic images
by: Gan Lim, Laurence A., et al.
Published: (2022) -
Analysis of colonic histopathological images using pixel intensities and Hough transform
by: Gan Lim, Laurence A., et al.
Published: (2010)