Usefulness of texture analysis for computerized classification of breast lesions on mammograms

Journal of Digital Imaging

Volumn 20, Issue 3, 2007, Pages 248-255

  Pereira Jr , Roberto R ^a   Azevedo Marques, Paulo M ^a   Honda, Marcelo O ^a   Kinoshita, Sergio K ^a   Engelmann, Roger ^b   Muramatsu, Chisako ^b   Doi, Kunio ^b  

^a UNIVERSITY OF SÃO PAULO   (Brazil)

^b UNIVERSITY OF CHICAGO   (United States)

Author keywords

Computer aided diagnosis; Mammography; Texture analysis

Indexed keywords

BREAST LESIONS; DIGITAL DATABASE; MICROCALCIFICATIONS; TEXTURE ANALYSIS;

COMPUTERIZED TOMOGRAPHY; IMAGE PROCESSING; LIVING SYSTEMS STUDIES; MAMMOGRAPHY; MEDICAL IMAGING;

COMPUTER AIDED DIAGNOSIS;

ANALYSIS; AREA UNDER THE CURVE; ARTICLE; BREAST LESION; MAMMOGRAPHY; PRIORITY JOURNAL; RECEIVER OPERATING CHARACTERISTIC; TEXTURE ANALYSIS;

BREAST NEOPLASMS; CALIBRATION; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; MAMMOGRAPHY; PHANTOMS, IMAGING; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REGRESSION ANALYSIS; ROC CURVE; STATISTICS, NONPARAMETRIC;

EID: 35648977177     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-006-9945-8     Document Type: Article

References (20)

1. HC Zuckerman 1987 The role of mammogaphy in the diagnosis of breast cancer IM Ariel JB Cleary Breast Cancer: Diagnosis and Treatment McGraw-Hill New York 152 172
2. L Tabar PB Dean 1987 The control of breast cancer through mammography screening Radiol Clin North Am 25 961
3. E Thurfjell K Lervenall A Taube 1994 Benefit of independent double reading in a population-based mammography screening program Radiology 191 241 244
4. R Birdwell D Ikeda K O'Shaughnessy E Sickles 2000 Mammographic characteristics of 115 missed cancers later detected with screening mammography and the potential utility of computer-aided detection Radiology 219 192 202
5. WP Kegelmeyer JM Pruneda PD Bourland A Hillis MW Riggs ML Nipper 1994 Computer aided mammographic screening for spiculated lesions Radiology 191 331 337
6. N Petrick HP Chan D Wei 1996 An adaptive density-weighted contrast enhancement filter for mammographic breast mass detection IEEE Trans Med Imag 15 59 67
7. Petrick N, Chan HP, Wei D, Sahiner B, Helvie MA, Adler DD: Automated detection of breast masses on mammograms using adaptive contrast enhancement and texture classification. Med Phys 23(10), 1996
8. Miller L, Ramsey N: The detection of malignant masses by non linear multiscale analysis. In: Doi K (ed). Digital Mammography, Proceedings of the 3rd International Workshop on Digital Mammography, Chicago, 1996, pp 335-340
9. N Petrick HP Chan B Sahiner M Helvie 1999 Combined adaptive enhancement and region growing segmentation of breast masses on digitized mammograms Med Phys 26 8 1642 1654
10. JK Kim HW Park 1999 Statistical textural features for detection of microcalcifications in digitized mammograms IEEE Trans Med Imag 18 3 231 238
11. Heath M, Bowyer K, Kopans D, Moore R, Kagelmeyer P: The digital database for screening mammography. In: Yaffe M (ed). 5th International Workshop on Digital Mammography, Toronto, Canada, 2000, pp 212-218
12. American College of Radiology 1998 Breast Imaging Reporting and Data System (BI-RADS) 3rd edition. American College of Radiology (ACR) Reston, VA
13. RM Halarick K Shanmugam I Dinstein 1973 Textural features for image classification IEEE Trans Syst Man Cybern 3 6 610 621
14. HP Chan D Wei 1997 Computer-aided classification of mammographic masses and normal tissue: Linear discriminant analysis in texture feature space Phys Med Biol 40 5 857 876
15. T Chang CCJ Kuo 1993 Texture analysis and classification with tree-structured wavelet/transform IEEE Trans Image Process 2 4 429 441
16. TY Young TW Calvert 1974 Classification, Estimation and Pattern Recognition Elsevier New York
17. H Yoshida K Doi RM Nishikawa 1994 Automated detection of clustered microcalcifications in digital mammograms using wavelet transform techniques Proc SPIE 2167 868 886
18. H Yoshida K Doi RM Nishikawa ML Giger RA Schmidt 1996 An improved computer assisted diagnostic scheme using wavelet transform for detecting clustered microcalcifications in digital mammograms Acad Radiol 3 621 627
19. RO Duda PE Hart 1973 Pattern Classification and Scene Analysis John Wiley and Sons New York
20. Pereira RR Jr, Honda MO, Rodrigues JAH, Azevedo-Marques PM: Detection of nonpalpable breast lesions using texture features. In: Etta Pisano (ed). 7th International Workshop on Digital Mammography, Durham, NC, 2004