Detection of juxta-pleural lung nodules in computed tomography images

• Type: Article in International Conference Proceedings Book
• Date: 2017

Authors

Aresta, G (Author) Other; Cunha, A (Author) Other; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: Medical Imaging 2017: Computer-Aided Diagnosis, Orlando, Florida, United States, 11-16 February 2017

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-00M-N7J

DOI: 10.1117/12.2252022

Abstract (EN): A method to detect juxta-pleural nodules with radius smaller than 5mm is presented. The intensity difference between nodules and parenchymal tissue as well as the nodules' natural roundness are exploited. Solid nodules are detected by selecting an appropriate threshold over a sliding window, whereas sub-solid/non-solid nodules are enhanced using multi-scale Laplacian-of-Gaussian filters. The 2D-wise outputs are combined to 3D, producing a final candidate list. False positive reduction is achieved with fixed rules and supervised learning. The achieved sensitivity is 57% with 4 false positives/scan, increasing to 62% if only solid nodules are considered. © 2017 SPIE.

Language: English

Type (Professor's evaluation): Scientific