In this paper, a novel and fast algorithm for segmental and subsegmental lung vessel segmentation is introduced using Computed Tomography Angiography images. This process is quite important especially at the detection of pulmonary embolism, lung nodule, and interstitial lung disease. The applied method has been realized at five steps. At the first step, lung segmentation is achieved. At the second one, images are threshold and differences between the images are detected. At the third one, left and right lungs are gathered with the differences which are attained in the second step and Exact Lung Image (ELI) is achieved. At the fourth one, image, which is threshold for vessel, is gathered with the ELI. Lastly, identifying and segmentation of ...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
A anÃlise de imagens mÃdicas por meio de tÃcnicas de visÃo computacional tornou-se bastante promisso...
In this study, a new and fast algorithm for Ascending Aorta (AscA) and Descending Aorta (DesA) segme...
Osman, Onur (Arel Author)In this study, we present a new and fast algorithm for lung segmentation us...
In this study, we present a new and fast algorithm for lung segmentation using CTA images. This proc...
Osman, Onur (Arel Author)In this paper, we propose a new computer-aided detection (CAD) – based meth...
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary v...
This paper describes an algorithm for extracting pulmonary vascular trees (arteries plus veins) from...
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of dif...
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of dif...
Objective Each pulmonary segment is an anatomical and functional unit. However, it is fundamentally ...
Item does not contain fulltextThe {VESSEL12} ({VES}sel {SE}mentation in the {L}ung) challenge object...
Low-dose computed tomography (CT) imaging provides a method for obtaining accurate anatomical inform...
Abstract. We present a pulmonary vessel segmentation algorithm, which is fast, fully automatic and r...
Medical imaging is nowadays much more than only providing data for diagnosis. It also links 'classic...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
A anÃlise de imagens mÃdicas por meio de tÃcnicas de visÃo computacional tornou-se bastante promisso...
In this study, a new and fast algorithm for Ascending Aorta (AscA) and Descending Aorta (DesA) segme...
Osman, Onur (Arel Author)In this study, we present a new and fast algorithm for lung segmentation us...
In this study, we present a new and fast algorithm for lung segmentation using CTA images. This proc...
Osman, Onur (Arel Author)In this paper, we propose a new computer-aided detection (CAD) – based meth...
In this paper, the algorithm that can automatically segment the lung, the airway and the pulmonary v...
This paper describes an algorithm for extracting pulmonary vascular trees (arteries plus veins) from...
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of dif...
The VESSEL12 (VESsel SEgmentation in the Lung) challenge objectively compares the performance of dif...
Objective Each pulmonary segment is an anatomical and functional unit. However, it is fundamentally ...
Item does not contain fulltextThe {VESSEL12} ({VES}sel {SE}mentation in the {L}ung) challenge object...
Low-dose computed tomography (CT) imaging provides a method for obtaining accurate anatomical inform...
Abstract. We present a pulmonary vessel segmentation algorithm, which is fast, fully automatic and r...
Medical imaging is nowadays much more than only providing data for diagnosis. It also links 'classic...
Lung cancer is the leading cause of cancer death among people worldwide. The primary aim of this res...
A anÃlise de imagens mÃdicas por meio de tÃcnicas de visÃo computacional tornou-se bastante promisso...
In this study, a new and fast algorithm for Ascending Aorta (AscA) and Descending Aorta (DesA) segme...