Publication date
October 2015
DOIAbstract
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomography Image Sequences of Pulmonary Nodule Segmentation</p> <p>segmented images</p
<p>Algorithm Based on Three-Dimensional Region Growing Positron Emission Tomography-Computed Tomography Image Sequences of Pulmonary Nodule Segmentation</p> <p>segmented images</p
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
Segmentation of pulmonary X-ray computed tomography (CT) images is a precursor to most pulmonary ima...
This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nod...
This paper presents an efficient algorithm for segmenting different types of pulmonary nodules inclu...
Abstract—Small pulmonary nodules are a common radio-graphic finding that presents an important diagn...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic a...
Computed tomography (CT) is the most sensitive imaging technique for detecting lung nodules, and is ...
Nonsolid nodules are a common radiographical finding in high resolution CT im-ages of the lung. A ma...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
This paper proposes a new segmentation method for the delimitation of the lung parenchyma in thorax...
Lung diseases such as lung cancer and chronic obstructive pulmonary disease (COPD) are a main cause ...
3rd IEEE EMBS International Conference on Biomedical and Health Informatics (IEEE BHI) -- FEB 24-27,...
Lung cancer continues to be the leading cause of cancer death in the United States. The automatic de...
Pulmonary nodule detection is an important step in lung cancer detection because nodules arethe aler...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
Segmentation of pulmonary X-ray computed tomography (CT) images is a precursor to most pulmonary ima...
This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nod...
This paper presents an efficient algorithm for segmenting different types of pulmonary nodules inclu...
Abstract—Small pulmonary nodules are a common radio-graphic finding that presents an important diagn...
<p>Column (a) shows the original lung CT sequence images, (b) shows the results of the local enlarge...
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic a...
Computed tomography (CT) is the most sensitive imaging technique for detecting lung nodules, and is ...
Nonsolid nodules are a common radiographical finding in high resolution CT im-ages of the lung. A ma...
<p>(a) original image; (b) results of segmentation; (c) binarized lung parenchyma.</p
This paper proposes a new segmentation method for the delimitation of the lung parenchyma in thorax...
Lung diseases such as lung cancer and chronic obstructive pulmonary disease (COPD) are a main cause ...
3rd IEEE EMBS International Conference on Biomedical and Health Informatics (IEEE BHI) -- FEB 24-27,...
Lung cancer continues to be the leading cause of cancer death in the United States. The automatic de...
Pulmonary nodule detection is an important step in lung cancer detection because nodules arethe aler...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
Segmentation of pulmonary X-ray computed tomography (CT) images is a precursor to most pulmonary ima...
This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nod...
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