The total computational time for both lungs was under 3min. Conclusion We developed an autonomous algorithm for segmenting lung lobes. This algorithm provided promising potential for developing an automatic algorithm for segmenting lung lobes in clinical settings....
The model used a 3D-UNet along with DenseNet and ResNet models that had already been trained to separate the lobes of the lungs and figure out the percentage of lung involvement due to COVID-19 infection. It also used the Dice similarity coefficient (DSC) to measure TSS. Our final model...
agives instructions and displays a unique image 给指示并且显示一个独特的图象[translate] aI want to be the reason for the smile on your face and that one girl in your life who can never be replaced. 我在不可能被替换的您的生活中想要是微笑的原因在您的面孔和那一个女孩。[translate] ...
[Lecture Notes in Computer Science] Medical Image Computing and Computer-Assisted Intervention – MICCAI 2008 Volume 5242 || Virtual Reality-Enhanced Ultrasound Guidance for Atrial Ablation: In vitro Epicardial Study Peters, Virtual Reality-Enhanced Ultrasound Guidance for Atrial Ablation: In vitro ...
Among all the variations in both lungs, the mediastinal lingular artery (MLA) may be the most common and distinguishable one which doesn’t parallel the accompanying bronchi at proximal [15]. In our study, we choose MLA as layered strata to analyze the different patterns of bronchi and vessel...
LUNGSCOVID-19IMAGE segmentationPATIENT monitoringTo precisely determine the severity of COVID-19-related pneumonia, computed tomography (CT) is an imaging modality beneficial for patient monitoring and therapy planning. Thus, we aimed to develop a deep learning-based image ...
A completely automatic and faster method is presented to segment the lungs, lobes and pulmonary segments from chest CT scans in this work. A cost image for the clustering is computed by combining information from pulmonary vessels, bronchi, and fissures. A faster segmentation method is presented ...
These voltages depend on the internal conductivity distribution and thus on the amount of air in the lungs. Based on the measured voltages, image reconstruction algorithms are employed to generate tomographic images reflecting the regional ventilation of the lungs. However, the ill-posedness of the ...
By the end of the 14-week holding period, lungs of the recipients (n = 4) were harvested. After volumetric measurements, the lung morphology was studied using light microscopy, scanning, and transmission electron microscopy. Changes of alveolar airspace volume were determined using a computer ...
In pre-processing we remove the noise from the CT lung image. For removing noise here we use the wiener filter. After that we segment the lungs from the original CT image. Then we detect the fissure from the segmented lungs. The fissure will be segmented by the adaptive threshold method....