146 related articles for article (PubMed ID: 11811821)
1. Development of an automated method for detecting mammographic masses with a partial loss of region.
Hatanaka Y; Hara T; Fujita H; Kasai S; Endo T; Iwase T
IEEE Trans Med Imaging; 2001 Dec; 20(12):1209-14. PubMed ID: 11811821
[TBL] [Abstract][Full Text] [Related]
2. A method to test the reproducibility and to improve performance of computer-aided detection schemes for digitized mammograms.
Zheng B; Gur D; Good WF; Hardesty LA
Med Phys; 2004 Nov; 31(11):2964-72. PubMed ID: 15587648
[TBL] [Abstract][Full Text] [Related]
3. Detection of breast masses in mammograms by density slicing and texture flow-field analysis.
Mudigonda NR; Rangayyan RM; Desautels JE
IEEE Trans Med Imaging; 2001 Dec; 20(12):1215-27. PubMed ID: 11811822
[TBL] [Abstract][Full Text] [Related]
4. A concentric morphology model for the detection of masses in mammography.
Eltonsy NH; Tourassi GD; Elmaghraby AS
IEEE Trans Med Imaging; 2007 Jun; 26(6):880-9. PubMed ID: 17679338
[TBL] [Abstract][Full Text] [Related]
5. Computer-aided characterization of mammographic masses: accuracy of mass segmentation and its effects on characterization.
Sahiner B; Petrick N; Chan HP; Hadjiiski LM; Paramagul C; Helvie MA; Gurcan MN
IEEE Trans Med Imaging; 2001 Dec; 20(12):1275-84. PubMed ID: 11811827
[TBL] [Abstract][Full Text] [Related]
6. Hybrid segmentation of mass in mammograms using template matching and dynamic programming.
Song E; Xu S; Xu X; Zeng J; Lan Y; Zhang S; Hung CC
Acad Radiol; 2010 Nov; 17(11):1414-24. PubMed ID: 20817575
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided detection of breast masses on mammograms: dual system approach with two-view analysis.
Wei J; Chan HP; Sahiner B; Zhou C; Hadjiiski LM; Roubidoux MA; Helvie MA
Med Phys; 2009 Oct; 36(10):4451-60. PubMed ID: 19928076
[TBL] [Abstract][Full Text] [Related]
8. Improving performance of computer-aided detection of masses by incorporating bilateral mammographic density asymmetry: an assessment.
Wang X; Li L; Xu W; Liu W; Lederman D; Zheng B
Acad Radiol; 2012 Mar; 19(3):303-10. PubMed ID: 22173323
[TBL] [Abstract][Full Text] [Related]
9. Radiomics based detection and characterization of suspicious lesions on full field digital mammograms.
Sapate SG; Mahajan A; Talbar SN; Sable N; Desai S; Thakur M
Comput Methods Programs Biomed; 2018 Sep; 163():1-20. PubMed ID: 30119844
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided detection; the effect of training databases on detection of subtle breast masses.
Zheng B; Wang X; Lederman D; Tan J; Gur D
Acad Radiol; 2010 Nov; 17(11):1401-8. PubMed ID: 20650667
[TBL] [Abstract][Full Text] [Related]
11. Computer-aided diagnosis of masses with full-field digital mammography.
Li L; Clark RA; Thomas JA
Acad Radiol; 2002 Jan; 9(1):4-12. PubMed ID: 11918357
[TBL] [Abstract][Full Text] [Related]
12. Incorporation of an iterative, linear segmentation routine into a mammographic mass CAD system.
Catarious DM; Baydush AH; Floyd CE
Med Phys; 2004 Jun; 31(6):1512-20. PubMed ID: 15259655
[TBL] [Abstract][Full Text] [Related]
13. Detection of masses in mammograms via statistically based enhancement, multilevel-thresholding segmentation, and region selection.
Rojas Domínguez A; Nandi AK
Comput Med Imaging Graph; 2008 Jun; 32(4):304-15. PubMed ID: 18358699
[TBL] [Abstract][Full Text] [Related]
14. Comparison of similarity measures for the task of template matching of masses on serial mammograms.
Filev P; Hadjiiski L; Sahiner B; Chan HP; Helvie MA
Med Phys; 2005 Feb; 32(2):515-29. PubMed ID: 15789598
[TBL] [Abstract][Full Text] [Related]
15. Characterization of difference of Gaussian filters in the detection of mammographic regions.
Catarious DM; Baydush AH; Floyd CE
Med Phys; 2006 Nov; 33(11):4104-14. PubMed ID: 17153390
[TBL] [Abstract][Full Text] [Related]
16. Combining two mammographic projections in a computer aided mass detection method.
van Engeland S; Karssemeijer N
Med Phys; 2007 Mar; 34(3):898-905. PubMed ID: 17441235
[TBL] [Abstract][Full Text] [Related]
17. Computer-aided diagnosis: automatic detection of malignant masses in digitized mammograms.
Méndez AJ; Tahoces PG; Lado MJ; Souto M; Vidal JJ
Med Phys; 1998 Jun; 25(6):957-64. PubMed ID: 9650186
[TBL] [Abstract][Full Text] [Related]
18. Computer-aided mass detection on digitized mammograms using adaptive thresholding and fuzzy entropy.
Younesi F; Alam N; Zoroofi RA; Ahmadian A; Guiti M
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():5638-41. PubMed ID: 18003291
[TBL] [Abstract][Full Text] [Related]
19. Snakules: a model-based active contour algorithm for the annotation of spicules on mammography.
Muralidhar GS; Bovik AC; Giese JD; Sampat MP; Whitman GJ; Haygood TM; Stephens TW; Markey MK
IEEE Trans Med Imaging; 2010 Oct; 29(10):1768-80. PubMed ID: 20529728
[TBL] [Abstract][Full Text] [Related]
20. Combined adaptive enhancement and region-growing segmentation of breast masses on digitized mammograms.
Petrick N; Chan HP; Sahiner B; Helvie MA
Med Phys; 1999 Aug; 26(8):1642-54. PubMed ID: 10501064
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]