<p>Superpixel clustering result (b) of the superpixel segmentation image (a).</p
In this article, we present a fast-marching based algorithm for generating superpixel (FMS) partitio...
Superpixel segmentation has emerged as an important research problem in the areas of image processin...
This research uses chest CT scan images of lung cancer patients to examine current methods in image...
Lung parenchyma segmentation is often performed as an important pre-processing step in the computer-...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
Lung segmentation is a fundamental step in many image analysis applications for lung diseases and a...
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomogra...
Abstract Background Lung segmentation constitutes a critical procedure for any clinical-decision sup...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm...
Introduction: Accurate image segmentation is essential in quantitative histopathology although chall...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
In this article, we present a fast-marching based algorithm for generating superpixel (FMS) partitio...
Superpixel segmentation has emerged as an important research problem in the areas of image processin...
This research uses chest CT scan images of lung cancer patients to examine current methods in image...
Lung parenchyma segmentation is often performed as an important pre-processing step in the computer-...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
Lung segmentation is a fundamental step in many image analysis applications for lung diseases and a...
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomogra...
Abstract Background Lung segmentation constitutes a critical procedure for any clinical-decision sup...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
Semi-automated segmentation or more commonly known as interactive image segmentation is an algorithm...
Introduction: Accurate image segmentation is essential in quantitative histopathology although chall...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
In this article, we present a fast-marching based algorithm for generating superpixel (FMS) partitio...
Superpixel segmentation has emerged as an important research problem in the areas of image processin...
This research uses chest CT scan images of lung cancer patients to examine current methods in image...
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