<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
a) Original image, b) 3D image of the main trachea and bronchus tree, c) binary image in which the m...
<p>Supervised cell segmentation on (a) a H&E lung tissue core image, (b) four classes of tissue morp...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
<p>Superpixel clustering result (b) of the superpixel segmentation image (a).</p
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomogra...
This project aims to segment histopathological images of lung tissues into its constituents such as ...
The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on...
Segmentation is an important step in medical image analysis and classification for radiological eval...
An automated system is developed for lung and mediastinum segmentation in lung CT (Computed Tomograp...
<p>A 3D mesh of the lungs is presented in the left image. The surface is colored to distinguish betw...
The article is written for the benefit of hospitals in order to identify segments of the lungs and t...
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
a) Original image, b) 3D image of the main trachea and bronchus tree, c) binary image in which the m...
<p>Supervised cell segmentation on (a) a H&E lung tissue core image, (b) four classes of tissue morp...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
<p>Superpixel clustering result (b) of the superpixel segmentation image (a).</p
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomogra...
This project aims to segment histopathological images of lung tissues into its constituents such as ...
The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on...
Segmentation is an important step in medical image analysis and classification for radiological eval...
An automated system is developed for lung and mediastinum segmentation in lung CT (Computed Tomograp...
<p>A 3D mesh of the lungs is presented in the left image. The surface is colored to distinguish betw...
The article is written for the benefit of hospitals in order to identify segments of the lungs and t...
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
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