Segmentation of Pulmonary Nodules in CT Images Using the Sliding Band Filter

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Joana Rocha (Author) Other; António Cunha (Author) Other; Ana Maria Mendonça (Author) FEUP

Conference proceedings International

Title: XV MEDITERRANEAN CONFERENCE ON MEDICAL AND BIOLOGICAL ENGINEERING AND COMPUTING - MEDICON 2019

Pages: 353-357

15th Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON)

UNESCO World Heritage Univ, Coimbra, PORTUGAL, SEP 26-28, 2019

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Other information

Authenticus ID: P-00R-F2Y

DOI: 10.1007/978-3-030-31635-8_42

Abstract (EN): This paper proposes a conventional approach for pulmonary nodule segmentation, that uses the Sliding Band Filter to estimate the center of the nodule, and consequently the filter's support points, matching the initial border coordinates. This preliminary segmentation is then refined to try to include mainly the nodular area, and no other regions (e.g. vessels and pleural wall). The algorithm was tested on 2653 nodules from the LIDC database and achieved a Dice score of 0.663, yielding similar results to the ground truth reference, and thus being a promising tool to promote early lung cancer screening and improve nodule characterization.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 5