Computer-aided detection of hepatocellular carcinoma in hepatic CT: False positive reduction with feature selection

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2011, Pages 1097-1100

  Xu, Jian Wu ^a   Suzuki, Kenji ^a  

^a UNIVERSITY OF CHICAGO   (United States)

Author keywords

Computer aided Detection; Feature Selection; Hepatocellular Carcinoma; Linear Discriminant Analysis; Maximal AUC

Indexed keywords

CHARACTERISTIC CURVE; CLINICAL PRACTICES; COMPUTER-AIDED DETECTION; CONTRAST-ENHANCED; CROSS-VALIDATION TESTS; CT IMAGE; FALSE POSITIVE; FALSE-POSITIVE REDUCTION; HEPATOCELLULAR CARCINOMA; LINEAR DISCRIMINANT ANALYSIS; MAXIMAL AUC; TEXTURE FEATURES;

COMPUTER AIDED ANALYSIS; COMPUTERIZED TOMOGRAPHY; DISCRIMINANT ANALYSIS; MACROS; MAMMOGRAPHY; MEDICAL IMAGING;

FEATURE EXTRACTION;

EID: 80053594552     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2011.5872592     Document Type: Conference Paper

References (10)

1. M. Nino-Murcia, E. W. Olcott, R. B. Jeffrey et al., "Focal Liver Lesions: Pattern-based Classification Scheme for Enhancement at Arterial Phase CT," Radiology, vol. 215, no. 3, pp. 746-751, 2000.
2. N. R. Draper, and H. Smith, Applied Regression Analysis, Third ed., New York: Wiley, 1998.
3. K. Suzuki, R. Kohlbrenner, Z. Grelewicz et al., "Computer-aided early detection of hepatocellular carcinoma in contrast-enhanced hepatic CT by use of watershed segmentation and morphologic and texture analysis," in Proc. 95th Meeting of Radiological Soc. of North America (RSNA) Chicago, IL, 2009, pp. 334.
4. Z. Grelewicz, K. Suzuki, R. Kohlbrenner et al., "Computer-aided diagnostic scheme for detection of hepatocellular carcinoma in contrast-enhanced hepatic CT: Preliminary results," in Proc. Annual Meeting of the American Association of Physicists in Medicine (AAPM), 2009, pp. 2434.
5. B. Sahiner, N. Petrick, H.-P. Chan et al., "Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization," IEEE Trans. on Medical Imaging, vol. 20, no. 12, pp. 1275-1284, 2001.
6. H. Yoshida, and J. Nappi, "Three-dimensional computer-aided diagnosis scheme for detection of colonic polyps," IEEE Trans Med Imaging, vol. 20, no. 12, pp. 1261-1274, 2001.
7. H. Arimura, S. Katsuragawa, K. Suzuki et al., "Computerized scheme for automated detection of lung nodules in low-dose CT images for lung cancer screening," Academic Radiology vol. 11, pp. 617-629, 2004.
8. P. Pudil, J. Novovicova, and J. Kittler, "Floating search methods in feature selection," Pattern Recognition Letters, vol. 15, pp. 1119-1125, 1994.
9. K. Suzuki, R. Kohlbrenner, L. Epstein et al., "Computer-aided measurement of liver volumes in CT by means of geodesic active contour segmentation coupled with level-set algorithms," Med. Phys., vol. 37, pp. 2159-2166, 2010.
10. R. Kohavi, and G. John, "Wrappers for Feature Subset Selection" Artif. Intell., vol. 97, pp. 273-324, 1997.