<p>An area between the fovea and the optic disc was selected as shown by the yellow circle (left). The same color fundus photograph showing the red, green and blue pixels using image J (right). In the histograms, the horizontal bar indicates the brightness of each color. Note that the vertical scale is different for the different histograms. Below each histogram, the mean, standard deviation, minimum, maximum, median, and count for each color are shown.</p
PURPOSE. To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from ster...
The analysis of the eye fundus is critical to prevent retinal and choroidal diseases since most of t...
AbstractIn this paper, we give a review on automatic image processing tools to recognize diseases ca...
This review will discuss the use of manual grading scales, digital photography, and automated image ...
<p>Plotted are the normalized median values of green (x-axis) and blue (y-axis) levels of each indiv...
Purpose The purpose of this study was to develop an algorithm to automatically standardize the brigh...
<p>(a-c) RGB color bands of a healthy fundus image, with blue being most uniform; (d-f) RGB color ba...
High resolution digital color fundus images were used to investigate the tapetal-like reflex, a reti...
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing i...
PURPOSE. To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from ster...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Contains fulltext : 80726.pdf (publisher's version ) (Closed access)A fully automa...
In this paper, we give a review on automatic image processing tools to recognize diseases causing sp...
The retinal ganglion axons are an important part of the visual system, which can be directly observe...
<p>(A) Illustration of globally thresholded image after multiplication between Fig. 4 and Fig. 5(A)....
PURPOSE. To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from ster...
The analysis of the eye fundus is critical to prevent retinal and choroidal diseases since most of t...
AbstractIn this paper, we give a review on automatic image processing tools to recognize diseases ca...
This review will discuss the use of manual grading scales, digital photography, and automated image ...
<p>Plotted are the normalized median values of green (x-axis) and blue (y-axis) levels of each indiv...
Purpose The purpose of this study was to develop an algorithm to automatically standardize the brigh...
<p>(a-c) RGB color bands of a healthy fundus image, with blue being most uniform; (d-f) RGB color ba...
High resolution digital color fundus images were used to investigate the tapetal-like reflex, a reti...
Medical image analysis to aid in clinical diagnosis is one of the research areas currently drawing i...
PURPOSE. To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from ster...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
Contains fulltext : 80726.pdf (publisher's version ) (Closed access)A fully automa...
In this paper, we give a review on automatic image processing tools to recognize diseases causing sp...
The retinal ganglion axons are an important part of the visual system, which can be directly observe...
<p>(A) Illustration of globally thresholded image after multiplication between Fig. 4 and Fig. 5(A)....
PURPOSE. To evaluate a novel automated segmentation algorithm for cup-to-disc segmentation from ster...
The analysis of the eye fundus is critical to prevent retinal and choroidal diseases since most of t...
AbstractIn this paper, we give a review on automatic image processing tools to recognize diseases ca...