<p>(a) boosting score, (b) Boosting classification (thresholding), (c) Pairwise MRF, (d) MRF with spatial prior.</p
In computer vision, image segmentation is a process that partitions an image into different objects ...
<p>(A)–(E) Selected transaxial slices of T2 brain MR data set. (F)–(J) Colorized soft segmentation o...
Segmentation performance evaluation results and R scripts for generating Figs 5 and 6 as well as Tab...
<p>(A) The original image. (B) The result of dual threshold. (C) The result of region growing thresh...
(a) Example frame from dataset DS7. (b) Example frame from dataset DS8. (c) Image segmentation for f...
Mean silhouette coefficient plotted by segment solution across segmentation approaches, to determine...
Mean silhouette coefficient plotted by segment solution across segmentation approaches, to determine...
<p>(a) Shows a typical brain image. (b) Dark membership image (to give more understanding, the obtai...
<p>Segmentation results of proposed method (in red contour) with their respective ground truths (in ...
<p>Mean (and median) macro F<sub>1</sub>-scores of the segmentation methods for the IF and LIVE imag...
<p>(a): original images with initial contours. (b): Chan-Vese result. (c): LBF result. (d): LCV resu...
<p>3D segmentation result (left and middle image) and 2D segmentation result with the user-defined s...
<p>Direct comparison of automatic (red) and manual (yellow) segmentation results for the same case: ...
<p>Visual comparison for moving target region segmentation for saliency-based methods and our propos...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial SPM 12 and ...
In computer vision, image segmentation is a process that partitions an image into different objects ...
<p>(A)–(E) Selected transaxial slices of T2 brain MR data set. (F)–(J) Colorized soft segmentation o...
Segmentation performance evaluation results and R scripts for generating Figs 5 and 6 as well as Tab...
<p>(A) The original image. (B) The result of dual threshold. (C) The result of region growing thresh...
(a) Example frame from dataset DS7. (b) Example frame from dataset DS8. (c) Image segmentation for f...
Mean silhouette coefficient plotted by segment solution across segmentation approaches, to determine...
Mean silhouette coefficient plotted by segment solution across segmentation approaches, to determine...
<p>(a) Shows a typical brain image. (b) Dark membership image (to give more understanding, the obtai...
<p>Segmentation results of proposed method (in red contour) with their respective ground truths (in ...
<p>Mean (and median) macro F<sub>1</sub>-scores of the segmentation methods for the IF and LIVE imag...
<p>(a): original images with initial contours. (b): Chan-Vese result. (c): LBF result. (d): LCV resu...
<p>3D segmentation result (left and middle image) and 2D segmentation result with the user-defined s...
<p>Direct comparison of automatic (red) and manual (yellow) segmentation results for the same case: ...
<p>Visual comparison for moving target region segmentation for saliency-based methods and our propos...
<p>The table shows the DICE (larger is better) and AVHD (less is better) for the initial SPM 12 and ...
In computer vision, image segmentation is a process that partitions an image into different objects ...
<p>(A)–(E) Selected transaxial slices of T2 brain MR data set. (F)–(J) Colorized soft segmentation o...
Segmentation performance evaluation results and R scripts for generating Figs 5 and 6 as well as Tab...
DOI
Add to ORKG