Lungs segmentation in CT image is implemented based on optimal thresholding, region growing, connected component labeling as well as morphological operations. Satisfactory lung boundary segmentation ...

large breathing tubes (bronchi), and the area in the middle of the chest separating the lungs (mediastinum). CT scan. This imaging test uses X-rays and computer technology to make horizontal images of ...

Department of Biomedical Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, SRM Nagar, Kattankulathur 603203, Tamil Nadu, India ...

Figure 2. Workflow for environmental radiomics feature extraction from contrast-enhanced CT scans of lung adenocarcinoma (LA) lesions, integrating intratumoral heterogeneity (Radscore3) and ...

ugent.be Background: Staging of non-small cell lung cancer (NSCLC) is important for determining ... It is unknown whether the accuracy of integrated FDG-PET/CT scanning makes invasive staging ...

uses ultrasound and works like a CT scanner. Rather than taking an isolated snapshot, it can produce a series of dynamic, high-resolution images of the heart, lungs and internal organs over time ...

Abstract: Accurate and automated segmentation of interstitial lung disease (ILD) lesions from computed tomography (CT) sequence images is essential for quantitatively assessing disease progression and ...

and Department of Radiology, Columbia University Irving Medical Center and New York-Presbyterian Hospital, New York, NY, USA iSection of Cardiovascular Medicine, Department of Internal Medicine, Yale ...

Contact the study team to discuss study eligibility and potential participation. Adults (≥ 18 years old) with incidental lung nodules detected during CT imaging (chest, abdomen, coronary calcium score ...

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