<p>Column (a) is the five original lung CT images from top to bottom, and (b)-(g) show manual human segmentation; our proposed method; and the ACM, watershed, RG and level set methods, respectively.</p
The amount of imaging information produced by today’s High-Resolution CT (HRCT) scanners is beyond t...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
Contains fulltext : 145304.pdf (publisher's version ) (Open Access)Lung diseases s...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
<p>Column (a) is the five original lung CT images from top to bottom; (b)-(d) show the results of th...
Segmentation is an important step in medical image analysis and classification for radiological eval...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
<p>Column (b) shows the results of the lung nodule image masks using RG (gray threshold of 0.15). Th...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
High-resolution X-ray computed tomography (CT) is the standard for pulmonary imaging. Depending on t...
PURPOSE: To assess the clinical relevance of a semiautomatic CT-based ensemble segmentation method, ...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
In automated pulmonary nodules extraction and lung disease diagnosis by image processing techniques,...
Contains fulltext : 80377.pdf (publisher's version ) (Closed access)Automated extr...
The amount of imaging information produced by today’s High-Resolution CT (HRCT) scanners is beyond t...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
Contains fulltext : 145304.pdf (publisher's version ) (Open Access)Lung diseases s...
<p>Column (a) and (b) are five original lung CT images and ROI images from the top to the bottom; (c...
<p>Column (a) is the five original lung CT images from top to bottom; (b)-(d) show the results of th...
Segmentation is an important step in medical image analysis and classification for radiological eval...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
<p>Column (b) shows the results of the lung nodule image masks using RG (gray threshold of 0.15). Th...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
High-resolution X-ray computed tomography (CT) is the standard for pulmonary imaging. Depending on t...
PURPOSE: To assess the clinical relevance of a semiautomatic CT-based ensemble segmentation method, ...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
In automated pulmonary nodules extraction and lung disease diagnosis by image processing techniques,...
Contains fulltext : 80377.pdf (publisher's version ) (Closed access)Automated extr...
The amount of imaging information produced by today’s High-Resolution CT (HRCT) scanners is beyond t...
In clinical lung radiology, primary cancer, metastatic disease, and parenchymal diseases such as emp...
Contains fulltext : 145304.pdf (publisher's version ) (Open Access)Lung diseases s...
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