<p>(A–C) Vessels detected in example images from the CLRIS, HRIS and VDIS respectively. (D) Individual diameters found for a vessel in a KPIS image. Note that in the KPIS image, the visible branching vessels are much narrower and dimmer in comparison to the main vessel, so that they occur as unconnected objects in the segmented image. This difference in contrast then allows edges still to be found for the main vessel at these branching locations.</p
Modern medical imaging techniques enable the acquisition of in vivo high resolution images of the va...
To obtain precise calibre measurements, there are two general approaches: segment the vessels and me...
Distinctive feature detection is an essential task in computer-assisted minimally invasive surgery (...
<p>Comparison of performance between the recent studies according to the first class of the images, ...
<p>Comparison of performance between the recent studies according to the second class of the images,...
<p>Comparison of the accuracy of unsupervised vessel segmentation algorithms as applied to the DRIVE...
<p>a. 570nm image; b. The vessels were minimum 50 pixels from the optic disc margin and at least 100...
<p>(A), (C), (E), (G) Overlay between the vessel edge points calculated from our algorithm located o...
<p>(a) The scatter plot of vessel width measured by automatic algorithm and the average of vessel wi...
<p>Image processing pipeline for vessel-density measurement in an automatically segmented region of ...
<p>1. Midplane 2D slice from MRI input (original imagery). The input to the software is any tomograp...
Abstract—The effective visualization of vascular structures is critical for diagnosis, surgical plan...
<p>(a) shows the vessel width measurement of <a href="http://www.plosone.org/article/info:doi/10.137...
<p>Top row: example of vessel segmentation; second row: example of removal of junctions from a thinn...
Distinctive features are crucial to many tasks in computer assisted minimally invasive surgeries (MI...
Modern medical imaging techniques enable the acquisition of in vivo high resolution images of the va...
To obtain precise calibre measurements, there are two general approaches: segment the vessels and me...
Distinctive feature detection is an essential task in computer-assisted minimally invasive surgery (...
<p>Comparison of performance between the recent studies according to the first class of the images, ...
<p>Comparison of performance between the recent studies according to the second class of the images,...
<p>Comparison of the accuracy of unsupervised vessel segmentation algorithms as applied to the DRIVE...
<p>a. 570nm image; b. The vessels were minimum 50 pixels from the optic disc margin and at least 100...
<p>(A), (C), (E), (G) Overlay between the vessel edge points calculated from our algorithm located o...
<p>(a) The scatter plot of vessel width measured by automatic algorithm and the average of vessel wi...
<p>Image processing pipeline for vessel-density measurement in an automatically segmented region of ...
<p>1. Midplane 2D slice from MRI input (original imagery). The input to the software is any tomograp...
Abstract—The effective visualization of vascular structures is critical for diagnosis, surgical plan...
<p>(a) shows the vessel width measurement of <a href="http://www.plosone.org/article/info:doi/10.137...
<p>Top row: example of vessel segmentation; second row: example of removal of junctions from a thinn...
Distinctive features are crucial to many tasks in computer assisted minimally invasive surgeries (MI...
Modern medical imaging techniques enable the acquisition of in vivo high resolution images of the va...
To obtain precise calibre measurements, there are two general approaches: segment the vessels and me...
Distinctive feature detection is an essential task in computer-assisted minimally invasive surgery (...