Measuring Performance of Dynamic Load Balancing Algorithms in Distributed Computing Applications

Abstract: Lobewise analysis of the pulmonary parenchyma is of clinical relevance for diagnosing and monitoring pathologies. Segmentation of images has become important and effective tool for many technological applications like lung segmentation fron CT scan images, medical imaging and many other post-processing techniques. The best method of implementing for medical image analysis is first to preprocess the image in order to segment it. In this paper we present a fully automatic lobe segmentation approach to accurately segment the lung parenchyma of lung CT images, which can help radiologist in early diagnosing lung diseases like lung tumor.

Keywords: Lobe segmentation, CT (Computer Tomography), Lung tumor