293 related articles for article (PubMed ID: 24509074)
1. Computer-aided detection of breast cancer on mammograms: a swarm intelligence optimized wavelet neural network approach.
Dheeba J; Albert Singh N; Tamil Selvi S
J Biomed Inform; 2014 Jun; 49():45-52. PubMed ID: 24509074
[TBL] [Abstract][Full Text] [Related]
2. A swarm optimized neural network system for classification of microcalcification in mammograms.
Dheeba J; Selvi ST
J Med Syst; 2012 Oct; 36(5):3051-61. PubMed ID: 21947904
[TBL] [Abstract][Full Text] [Related]
3. Breast cancer diagnosis: analyzing texture of tissue surrounding microcalcifications.
Karahaliou AN; Boniatis IS; Skiadopoulos SG; Sakellaropoulos FN; Arikidis NS; Likaki EA; Panayiotakis GS; Costaridou LI
IEEE Trans Inf Technol Biomed; 2008 Nov; 12(6):731-8. PubMed ID: 19000952
[TBL] [Abstract][Full Text] [Related]
4. An Improved CAD System for Breast Cancer Diagnosis Based on Generalized Pseudo-Zernike Moment and Ada-DEWNN Classifier.
Singh SP; Urooj S
J Med Syst; 2016 Apr; 40(4):105. PubMed ID: 26892455
[TBL] [Abstract][Full Text] [Related]
5. Computer aided decision system for early detection of breast cancer.
Sheshadri HS; Kandaswamy A
Indian J Med Res; 2006 Aug; 124(2):149-54. PubMed ID: 17015928
[TBL] [Abstract][Full Text] [Related]
6. Computer-aided mass detection based on ipsilateral multiview mammograms.
Qian W; Song D; Lei M; Sankar R; Eikman E
Acad Radiol; 2007 May; 14(5):530-8. PubMed ID: 17434066
[TBL] [Abstract][Full Text] [Related]
7. Ipsilateral-mammogram computer-aided detection of breast cancer.
Sun X; Qian W; Song D
Comput Med Imaging Graph; 2004 Apr; 28(3):151-8. PubMed ID: 15081498
[TBL] [Abstract][Full Text] [Related]
8. An improved decision support system for detection of lesions in mammograms using Differential Evolution Optimized Wavelet Neural Network.
Dheeba J; Tamil Selvi S
J Med Syst; 2012 Oct; 36(5):3223-32. PubMed ID: 22173907
[TBL] [Abstract][Full Text] [Related]
9. Decision support system for breast cancer detection using mammograms.
Ganesan K; Acharya RU; Chua CK; Min LC; Mathew B; Thomas AK
Proc Inst Mech Eng H; 2013 Jul; 227(7):721-32. PubMed ID: 23636749
[TBL] [Abstract][Full Text] [Related]
10. Aiding the Digital Mammogram for Detecting the Breast Cancer Using Shearlet Transform and Neural Network.
P S; R T
Asian Pac J Cancer Prev; 2018 Sep; 19(9):2665-2671. PubMed ID: 30256567
[TBL] [Abstract][Full Text] [Related]
11. A computer-aided detection of the architectural distortion in digital mammograms using the fractal dimension measurements of BEMD.
Zyout I; Togneri R
Comput Med Imaging Graph; 2018 Dec; 70():173-184. PubMed ID: 29691123
[TBL] [Abstract][Full Text] [Related]
12. Computer-aided mass detection in mammography: false positive reduction via gray-scale invariant ranklet texture features.
Masotti M; Lanconelli N; Campanini R
Med Phys; 2009 Feb; 36(2):311-6. PubMed ID: 19291970
[TBL] [Abstract][Full Text] [Related]
13. A CAD system for the automatic detection of clustered microcalcifications in digitized mammogram films.
Yu S; Guan L
IEEE Trans Med Imaging; 2000 Feb; 19(2):115-26. PubMed ID: 10784283
[TBL] [Abstract][Full Text] [Related]
14. Simultaneous detection and classification of breast masses in digital mammograms via a deep learning YOLO-based CAD system.
Al-Masni MA; Al-Antari MA; Park JM; Gi G; Kim TY; Rivera P; Valarezo E; Choi MT; Han SM; Kim TS
Comput Methods Programs Biomed; 2018 Apr; 157():85-94. PubMed ID: 29477437
[TBL] [Abstract][Full Text] [Related]
15. Computer aided detection system for micro calcifications in digital mammograms.
Mohamed H; Mabrouk MS; Sharawy A
Comput Methods Programs Biomed; 2014 Oct; 116(3):226-35. PubMed ID: 24909786
[TBL] [Abstract][Full Text] [Related]
16. Computer-aided detection output on 172 subtle findings on normal mammograms previously obtained in women with breast cancer detected at follow-up screening mammography.
Ikeda DM; Birdwell RL; O'Shaughnessy KF; Sickles EA; Brenner RJ
Radiology; 2004 Mar; 230(3):811-9. PubMed ID: 14764891
[TBL] [Abstract][Full Text] [Related]
17. Fissures segmentation using surface features: content-based retrieval for mammographic mass using ensemble classifier.
Liu H; Lan Y; Xu X; Song E; Hung CC
Acad Radiol; 2011 Dec; 18(12):1475-84. PubMed ID: 22055794
[TBL] [Abstract][Full Text] [Related]
18. Segmentation and detection of breast cancer in mammograms combining wavelet analysis and genetic algorithm.
Pereira DC; Ramos RP; do Nascimento MZ
Comput Methods Programs Biomed; 2014 Apr; 114(1):88-101. PubMed ID: 24513228
[TBL] [Abstract][Full Text] [Related]
19. Computer-aided detection system performance on current and previous digital mammograms in patients with contralateral metachronous breast cancer.
Kim SJ; Moon WK; Cho N; Chang JM
Acta Radiol; 2012 May; 53(4):376-81. PubMed ID: 22403080
[TBL] [Abstract][Full Text] [Related]
20. Features of prospectively overlooked computer-aided detection marks on prior screening digital mammograms in women with breast cancer.
Cho N; Kim SJ; Choi HY; Lyou CY; Moon WK
AJR Am J Roentgenol; 2010 Nov; 195(5):1276-82. PubMed ID: 20966340
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
