149 related articles for article (PubMed ID: 27831857)
1. Mammogram Enhancement Using Intuitionistic Fuzzy Sets.
Deng H; Deng W; Sun X; Liu M; Ye C; Zhou X
IEEE Trans Biomed Eng; 2017 Aug; 64(8):1803-1814. PubMed ID: 27831857
[TBL] [Abstract][Full Text] [Related]
2. Integration of fuzzy logic and structure tensor towards mammogram contrast enhancement.
Jiang J; Yao B; Wason AM
Comput Med Imaging Graph; 2005 Jan; 29(1):83-90. PubMed ID: 15710543
[TBL] [Abstract][Full Text] [Related]
3. Technique for preprocessing of digital mammogram.
Maitra IK; Nag S; Bandyopadhyay SK
Comput Methods Programs Biomed; 2012 Aug; 107(2):175-88. PubMed ID: 21669471
[TBL] [Abstract][Full Text] [Related]
4. Intuitionistic fuzzy segmentation of medical images.
Chaira T
IEEE Trans Biomed Eng; 2010 Jun; 57(6):1430-6. PubMed ID: 20172785
[TBL] [Abstract][Full Text] [Related]
5. A registration framework for the comparison of mammogram sequences.
Marias K; Behrenbruch C; Parbhoo S; Seifalian A; Brady M
IEEE Trans Med Imaging; 2005 Jun; 24(6):782-90. PubMed ID: 15957600
[TBL] [Abstract][Full Text] [Related]
6. Mammogram-based discriminant fusion analysis for breast cancer diagnosis.
Li JB; Wang YH; Tang LL
Clin Imaging; 2012; 36(6):710-6. PubMed ID: 23153999
[TBL] [Abstract][Full Text] [Related]
7. 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]
8. An Intuitionistic Fuzzy Clustering Approach for Detection of Abnormal Regions in Mammogram Images.
Chaira T
J Digit Imaging; 2021 Apr; 34(2):428-439. PubMed ID: 33755865
[TBL] [Abstract][Full Text] [Related]
9. Breast cancer detection and classification in digital mammography based on Non-Subsampled Contourlet Transform (NSCT) and Super Resolution.
Pak F; Kanan HR; Alikhassi A
Comput Methods Programs Biomed; 2015 Nov; 122(2):89-107. PubMed ID: 26206406
[TBL] [Abstract][Full Text] [Related]
10. A novel approach to microcalcification detection using fuzzy logic technique.
Cheng HD; Lui YM; Freimanis RI
IEEE Trans Med Imaging; 1998 Jun; 17(3):442-50. PubMed ID: 9735907
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. A regional registration method to find corresponding mass lesions in temporal mammogram pairs.
Timp S; van Engeland S; Karssemeijer N
Med Phys; 2005 Aug; 32(8):2629-38. PubMed ID: 16193793
[TBL] [Abstract][Full Text] [Related]
13. Dual system approach to computer-aided detection of breast masses on mammograms.
Wei J; Chan HP; Sahiner B; Hadjiiski LM; Helvie MA; Roubidoux MA; Zhou C; Ge J
Med Phys; 2006 Nov; 33(11):4157-68. PubMed ID: 17153394
[TBL] [Abstract][Full Text] [Related]
14. An approach to the detection of lesions in mammograms using fuzzy image processing.
Bayram B; Acar U
J Int Med Res; 2007; 35(6):790-5. PubMed ID: 18034992
[TBL] [Abstract][Full Text] [Related]
15. 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]
16. A fuzzy approach for contrast enhancement of mammography breast images.
Sahba F; Venetsanopoulos A
Adv Exp Med Biol; 2010; 680():619-26. PubMed ID: 20865547
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Use of normal tissue context in computer-aided detection of masses in mammograms.
Hupse R; Karssemeijer N
IEEE Trans Med Imaging; 2009 Dec; 28(12):2033-41. PubMed ID: 19666331
[TBL] [Abstract][Full Text] [Related]
19. Adaptive Intuitionistic Fuzzy Enhancement of Brain Tumor MR Images.
Deng H; Deng W; Sun X; Ye C; Zhou X
Sci Rep; 2016 Oct; 6():35760. PubMed ID: 27786240
[TBL] [Abstract][Full Text] [Related]
20. Contrast enhancement of mammography images using a fuzzy approach.
Sahba F; Venetsanopoulos A
Annu Int Conf IEEE Eng Med Biol Soc; 2008; 2008():2201-4. PubMed ID: 19163135
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
