Three-dimensional lung nodule segmentation and shape variance analysis to detect lung cancer with reduced false positives

• Published in: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine Vol. 230; no. 1; p. 58
• Main Authors: Krishnamurthy, Senthilkumar, Narasimhan, Ganesh, Rengasamy, Umamaheswari
• Format: Journal Article
• Language: English
• Published: England 01.01.2016
• Subjects: Algorithms; Analysis of Variance; Humans; Imaging, Three-Dimensional - methods; Lung - diagnostic imaging; Lung Neoplasms - diagnostic imaging; Lung Neoplasms - pathology; Radiographic Image Interpretation, Computer-Assisted - methods; Tomography, X-Ray Computed - methods; lung cancer; shape feature extraction; three-dimensional segmentation; juxta-pleural nodule; Computed tomography; morphology processing

The three-dimensional analysis on lung computed tomography scan was carried out in this study to detect the malignant lung nodules. An automatic three-dimensional segmentation algorithm proposed here efficiently segmented the tissue clusters (nodules) inside the lung. However, an automatic morpholog...