<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c) and (d) shows the results of GSLIC and SGNF; (e) and (f) are the coarse and the final lung parenchyma mask; (g) and (h) present the final results of the proposed method and manual segmentation.</p
Segmentation is a complex task, faced by radiologists and researchers as radiomics and machine learn...
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmo...
<p>Column (a) is the five original lung CT images from top to bottom, and (b)-(g) show manual human ...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
<p>Column (a) is the five original lung CT images from top to bottom; (b)-(d) show the results of th...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
Segmentation is an important step in medical image analysis and classification for radiological eval...
This paper deals with the segmentation of lung parenchyma and extraction of airways tree from three ...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
An automated system is developed for lung and mediastinum segmentation in lung CT (Computed Tomograp...
The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on...
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright...
Segmentation is an important step in medical diagnosis applications which affects the accuracy of th...
Segmentation is a complex task, faced by radiologists and researchers as radiomics and machine learn...
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmo...
<p>Column (a) is the five original lung CT images from top to bottom, and (b)-(g) show manual human ...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
<p>Column (a) is the five original lung CT images from top to bottom; (b)-(d) show the results of th...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
Segmentation is an important step in medical image analysis and classification for radiological eval...
This paper deals with the segmentation of lung parenchyma and extraction of airways tree from three ...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
An automated system is developed for lung and mediastinum segmentation in lung CT (Computed Tomograp...
The computer-based process of identifying the boundaries of lung from surrounding thoracic tissue on...
This material is presented to ensure timely dissemination of scholarly and technical work. Copyright...
Segmentation is an important step in medical diagnosis applications which affects the accuracy of th...
Segmentation is a complex task, faced by radiologists and researchers as radiomics and machine learn...
Abstract — Image segmentation is an important task for image understanding and analysis. Image segme...
A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmo...