Computer-aided mass detection in mammography: False positive reduction via gray-scale invariant ranklet texture features

Medical Physics

Volumn 36, Issue 2, 2009, Pages 311-316

  Masotti, Matteo ^a   Lanconelli, Nico ^a   Campanini, Renato ^a  

^a UNIVERSITY OF BOLOGNA   (Italy)

Author keywords

Computer aided mass detection; JAFROC; Mammography; Ranklets; Support vector machine; Texture

Indexed keywords

COMPUTERIZED TOMOGRAPHY; FEATURE EXTRACTION; IMAGE CODING; IMAGE TEXTURE; MAMMOGRAPHY; SUPPORT VECTOR MACHINES; TEXTURES; WAVELET TRANSFORMS; X RAY SCREENS;

COMPUTER-AIDED DETECTION; FALSE-POSITIVE REDUCTION; FREE-RESPONSE RECEIVERS; FULL-FIELD DIGITAL MAMMOGRAMS; JAFROC; MASS DETECTION; RANKLETS; STATISTICAL SIGNIFICANCE;

COMPUTER AIDED DIAGNOSIS;

ARTICLE; COMPUTER ASSISTED RADIOGRAPHY; FALSE POSITIVE RESULT; HUMAN; MAMMOGRAPHY; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY;

EID: 59249093491     PISSN: 00942405     EISSN: None     Source Type: Journal    
DOI: 10.1118/1.3049588     Document Type: Article

References (20)

1. M. J. Morton, D. H. Whaley, K. R. Brandt, and K. K. Amrami, " Screening mammograms: Interpretation with computer-aided detection-prospective evaluation.," Radiology 239 (2), 373-383 (2006).
2. J. M. Ko, M. J. Nicholas, J. B. Mendel, and P. J. Slanetz, " Prospective assessment of computer-aided detection in interpretation of screening mammography.," AJR, Am. J. Roentgenol. 187 (6), 1483-1491 (2006).
3. M. Gromet, " Comparison of computer-aided detection to double reading of screening mammograms: Review of 231, 221 mammograms.," AJR, Am. J. Roentgenol. 190 (4), 854-859 (2008).
4. L. Li, R. A. Clark, and J. A. Thomas, " Computer-aided diagnosis of masses with full-field digital mammography.," Acad. Radiol. 9 (1), 4-12 (2002).
5. J. Wei, B. Sahiner, L. M. Hadjiiski, H. P. Chan, N. Petrick, M. A. Helvie, M. A. Roubidoux, J. Ge, and C. Zhou, " Computer-aided detection of breast masses on full field digital mammograms.," Med. Phys. 32 (9), 2827-2838 (2006).
6. J. Ge, B. Sahiner, L. M. Hadjiiski, H. P. Chan, J. Wei, M. A. Helvie, and C. Zhou, " Computer aided detection of clusters of microcalcifications on full field digital mammograms.," Med. Phys. 33 (8), 2975-2988 (2005).
7. D. Gur, J. S. Stalder, L. A. Hardesty, B. Zheng, J. Wei, J. H. Sumkin, D. M. Chough, B. E. Shindel, and H. E. Rockette, " Computer-aided detection performance in mammographic examination of masses: Assessment.," Radiology 33 (233), 418-423 (2004).
8. M. Masotti, " A ranklet-based image representation for mass classification in digital mammograms.," Med. Phys. 33 (10), 3951-3961 (2006).
9. M. Masotti, " Exploring ranklets performances in mammographic mass classification using recursive feature elimination.," in Proceedings of the 16th IEEE International Workshop on Machine Learning for Signal Processing, Maynooth, Ireland, 2006, pp. 265-270.
10. R. Campanini, E. Angelini, E. Iampieri, N. Lanconelli, M. Masotti, and M. Roffilli, " A ranklet-based CAD for digital mammography.," in Proceedings of the 8th International Workshop on Digital Mammography, Manchester, UK, 2006, pp. 340-346.
11. R. Haralick, K. Shanmugam, and I. Dinstein, " Textural features for image classification.," IEEE Trans. Syst. Man Cybern. 3, 610-621 (1973).
12. R. Xu, X. Zhao, X. Li, and C. I. Chang, " Target detection with improved image texture feature coding method and support vector machine.," Int. J. Intel. Technol. 1 (1), 47-56 (2006).
13. Y. T. Wu, J. Wei, L. M. Hadjiiski, B. Sahiner, C. Zhou, J. Ge, J. Shi, Y. Zhang, and H. P. Chan, " Bilateral analysis based false positive reduction for computer-aided mass detection.," Med. Phys. 34 (8), 3334-3344 (2007).
14. R. Bellotti, F. De Carlo, S. Tangaro, G. Gargano, G. Maggipinto, M. Castellano, R. Massafra, D. Cascio, F. Fauci, R. Magro, G. Raso, A. Lauria, G. Forni, S. Bagnasco, P. Cerello, E. Zanon, S. C. Cheran, E. Lopez Torres, U. Bottigli, G. L. Masala, P. Oliva, A. Retico, M. E. Fantacci, R. Cataldo, I. De Mitri, and G. De Nunzio, " A completely automated CAD system for mass detection in a large mammographic database.," Med. Phys. 33 (8), 3066-3075 (2006).
15. M. Masotti and R. Campanini, " Texture classification using invariant ranklet features.," Pattern Recogn. Lett. 29 (14), 1980-1986 (2008).
16. R. Campanini, D. Dongiovanni, E. Iampieri, N. Lanconelli, M. Masotti, G. Palermo, A. Riccardi, and M. Roffilli, " A novel featureless approach to mass detection in digital mammograms based on Support Vector Machines.," Phys. Med. Biol. 49 (6), 961-975 (2004).
17. E. Angelini, R. Campanini, E. Iampieri, N. Lanconelli, M. Masotti, and M. Roffilli, " Testing the performances of dierent image representations for mass classification in digital mammograms.," Int. J. Mod. Phys. C 17 (1), 113-131 (2006).
18. V. Vapnik, Statistical Learning Theory (Wiley, New York, 1998).
19. P. C. Bunch, J. F. Hamilton, G. K. Sanderson, and A. H. Simmons, " A free response approach to the measurement and characterization of radiographic observer performance.," J. Appl. Photogr. Eng. 4, 166-171 (1978).
20. D. P. Chakraborty and K. S. Berbaum, " Observer studies involving detection and localization: Modeling, analysis, and validation.," Med. Phys. 31 (8), 2313-2330 (2004).