Add to ORKGStatistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate segmentation of lung parenchyma sequences of juxtapleural nodules is the basis of subsequent pulmonary nodule segmentation and detection. In order to solve the problem of incomplete segmentation of the juxtapleural nodules and segmentation inefficiency, this paper proposes an automated framework to combine the threshold iteration method to segment the lung parenchyma images and the fractal geometry method to detect the depression boundary. The framework includes an improved convex hull repair to complete the accurate segmentation of the lung parenchyma. The evaluation results confirm that the proposed method can segment juxtapleural lung paren...
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic a...
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary v...
The purpose of this study was to develop an automated segmentation method for lung nodules in chest ...
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
[[abstract]]Lung cancer is the leading cause of cancer with high mortality and incidence in worldwid...
Lung parenchyma segmentation is often performed as an important pre-processing step in the computer-...
This paper presents a fully automatic framework for lung segmentation, in which juxta-pleural nodule...
Abstract—In this study, we propose a novel pathological lung segmentation method that takes into acc...
This paper proposes a new segmentation method for the delimitation of the lung parenchyma in thorax...
[[abstract]]Lung cancer, which has a high mortality and the greatest incidence worldwide, can be dia...
An efficient Autoseed Region Growing with Morphological Masking(ARGMM) is imple-mented in this paper...
A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmo...
We propose a method for automatic lung juxtapleural nodule detection in thorax CT images, to be use...
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic a...
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary v...
The purpose of this study was to develop an automated segmentation method for lung nodules in chest ...
Statistically solitary pulmonary nodules are about 6% to 17% of juxtapleural nodules. The accurate s...
The traditional segmentation methods available for pulmonary parenchyma are not accurate because mos...
Lung cancer has become one of the leading causes of death in the world. Clear evidence shows that ea...
[[abstract]]Lung cancer is the leading cause of cancer with high mortality and incidence in worldwid...
Lung parenchyma segmentation is often performed as an important pre-processing step in the computer-...
This paper presents a fully automatic framework for lung segmentation, in which juxta-pleural nodule...
Abstract—In this study, we propose a novel pathological lung segmentation method that takes into acc...
This paper proposes a new segmentation method for the delimitation of the lung parenchyma in thorax...
[[abstract]]Lung cancer, which has a high mortality and the greatest incidence worldwide, can be dia...
An efficient Autoseed Region Growing with Morphological Masking(ARGMM) is imple-mented in this paper...
A fully automated and three-dimensional (3D) segmentation method for the identification of the pulmo...
We propose a method for automatic lung juxtapleural nodule detection in thorax CT images, to be use...
The detection and segmentation of lung nodules based on computer tomography images (CT) is a basic a...
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary v...
The purpose of this study was to develop an automated segmentation method for lung nodules in chest ...