A novel segmentation algorithm for pulmonary nodule in chest radiograph

Proceedings - International Conference on Pattern Recognition

Volumn , Issue , 2008, Pages

  Wei, Erling ^a   Yan, Jiayong ^b   Xu, Mantao ^b   Zhang, Jiwu ^b  

^a FUDAN UNIVERSITY   (China)

^b CARESTREAM HEALTH INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANATOMICAL STRUCTURES; CHEST RADIOGRAPHS; EDGE POINT; EDGE POSITION; HIGH RATE; IMAGE DATABASE; INTENSITY PROFILES; LOCAL MINIMUMS; LUNG FIELDS; POLYNOMIAL FITTINGS; PULMONARY NODULES; RAYCASTING; SEGMENTATION ALGORITHMS;

ALGORITHMS; PATTERN RECOGNITION; POSITRON EMISSION TOMOGRAPHY;

RADIOGRAPHY;

EID: 77958043798     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (4)

1. Global Cancer Facts and Figures 2007-08. American Cancer Society. Http://www.cancer.org.
2. X. Xu, K. scheme for automated detection of lung nodules in digital chest images", Med. Phys., Vol.24, No.9, pp.1395-1403, 1997.
3. M. Aoyama, Q. Li, S. Katsuragawa, et al., "Automated computerized scheme for distinction between benign and malignant solitary pulmonary nodueles on chest images", Med. Phys., Vol.29, No.5, pp.701-708, 2002.
4. Arnold M.R. Schilham, Bram van Ginneken, Marco Loog, "A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database", Medical Image Analysis, Vol. 10, No. 2, pp.247-258, 2006.