Extraction of disease area from retinal optical coherence tomography images using three dimensional regional Statistics
We propose a new extract on method of the macular disease area in the human retinal layer from OCT images using three dimensional regional statistics. In previous researches, we extracted disease area by using the mean and standard deviation of the two dimensional disease part pointed out by a clini...
Saved in:
Main Authors: | Mohd Fadzil, Abdul Kadir, Nakahara, I.a, Tsuruoka, S.c, Takase, H.a, Kawanaka, H.a, Okuyama, F.d, Matsubara, H |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2014
|
Subjects: | |
Online Access: | http://eprints.unisza.edu.my/358/1/FH03-FIK-15-02473.jpg http://eprints.unisza.edu.my/358/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Extraction of disease area from retinal optical coherence tomography images using three dimensional regional Statistics
by: Mohd Fadzil, Abdul Kadir, et al.
Published: (2013) -
Extraction of macular disease area using regional statistics technique for human retinal Optical Coherence Tomography (OCT) image
by: Mohd Fadzil, Abdul Kadir, et al.
Published: (2015) -
Analysis of retinal fundus images for grading of diabetic retinopathy severity
by: Ahmad Fadzil, M. H., et al.
Published: (2011) -
Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans
by: Alsaih, K., et al.
Published: (2020) -
Retinal Fluids Segmentation Using Volumetric Deep Neural Networks on Optical Coherence Tomography Scans
by: Alsaih, K., et al.
Published: (2020)