204 related articles for article (PubMed ID: 21609879)
1. An anatomically oriented breast coordinate system for mammogram analysis.
Brandt SS; Karemore G; Karssemeijer N; Nielsen M
IEEE Trans Med Imaging; 2011 Oct; 30(10):1841-51. PubMed ID: 21609879
[TBL] [Abstract][Full Text] [Related]
2. Computerized nipple identification for multiple image analysis in computer-aided diagnosis.
Zhou C; Chan HP; Paramagul C; Roubidoux MA; Sahiner B; Hadjiiski LM; Petrick N
Med Phys; 2004 Oct; 31(10):2871-82. PubMed ID: 15543797
[TBL] [Abstract][Full Text] [Related]
3. Mammography image quality: model for predicting compliance with posterior nipple line criterion.
Spuur K; Hung WT; Poulos A; Rickard M
Eur J Radiol; 2011 Dec; 80(3):713-8. PubMed ID: 20621431
[TBL] [Abstract][Full Text] [Related]
4. Automatic pectoral muscle segmentation on mediolateral oblique view mammograms.
Kwok SM; Chandrasekhar R; Attikiouzel Y; Rickard MT
IEEE Trans Med Imaging; 2004 Sep; 23(9):1129-40. PubMed ID: 15377122
[TBL] [Abstract][Full Text] [Related]
5. A robust method for segmenting pectoral muscle in mediolateral oblique (MLO) mammograms.
Yin K; Yan S; Song C; Zheng B
Int J Comput Assist Radiol Surg; 2019 Feb; 14(2):237-248. PubMed ID: 30288698
[TBL] [Abstract][Full Text] [Related]
6. Detection and Segmentation of Pectoral Muscle on MLO-View Mammogram Using Enhancement Filter.
Vikhe PS; Thool VR
J Med Syst; 2017 Oct; 41(12):190. PubMed ID: 29071592
[TBL] [Abstract][Full Text] [Related]
7. Geometry-Based Pectoral Muscle Segmentation From MLO Mammogram Views.
Taghanaki SA; Liu Y; Miles B; Hamarneh G
IEEE Trans Biomed Eng; 2017 Nov; 64(11):2662-2671. PubMed ID: 28129144
[TBL] [Abstract][Full Text] [Related]
8. Automated pectoral muscle identification on MLO-view mammograms: Comparison of deep neural network to conventional computer vision.
Ma X; Wei J; Zhou C; Helvie MA; Chan HP; Hadjiiski LM; Lu Y
Med Phys; 2019 May; 46(5):2103-2114. PubMed ID: 30771257
[TBL] [Abstract][Full Text] [Related]
9. Automatic Detection of Pectoral Muscle Region for Computer-Aided Diagnosis Using MIAS Mammograms.
Yoon WB; Oh JE; Chae EY; Kim HH; Lee SY; Kim KG
Biomed Res Int; 2016; 2016():5967580. PubMed ID: 27847817
[TBL] [Abstract][Full Text] [Related]
10. Pectoral muscle segmentation: a review.
Ganesan K; Acharya UR; Chua KC; Min LC; Abraham KT
Comput Methods Programs Biomed; 2013 Apr; 110(1):48-57. PubMed ID: 23270962
[TBL] [Abstract][Full Text] [Related]
11. Radon-domain detection of the nipple and the pectoral muscle in mammograms.
Kinoshita SK; Azevedo-Marques PM; Pereira RR; Rodrigues JA; Rangayyan RM
J Digit Imaging; 2008 Mar; 21(1):37-49. PubMed ID: 17436047
[TBL] [Abstract][Full Text] [Related]
12. A heuristic approach to automated nipple detection in digital mammograms.
Jas M; Mukhopadhyay S; Chakraborty J; Sadhu A; Khandelwal N
J Digit Imaging; 2013 Oct; 26(5):932-40. PubMed ID: 23423610
[TBL] [Abstract][Full Text] [Related]
13. Fully automated nipple detection in digital breast tomosynthesis.
Chae SH; Jeong JW; Choi JH; Chae EY; Kim HH; Choi YW; Lee S
Comput Methods Programs Biomed; 2017 May; 143():113-120. PubMed ID: 28391808
[TBL] [Abstract][Full Text] [Related]
14. Breast cancer diagnosis in digital mammogram using multiscale curvelet transform.
Eltoukhy MM; Faye I; Samir BB
Comput Med Imaging Graph; 2010 Jun; 34(4):269-76. PubMed ID: 20004076
[TBL] [Abstract][Full Text] [Related]
15. Measures of divergence of oriented patterns for the detection of architectural distortion in prior mammograms.
Rangayyan RM; Banik S; Chakraborty J; Mukhopadhyay S; Desautels JE
Int J Comput Assist Radiol Surg; 2013 Jul; 8(4):527-45. PubMed ID: 23054747
[TBL] [Abstract][Full Text] [Related]
16. Robust initial detection of landmarks in film-screen mammograms using multiple FFDM atlases.
Iglesias JE; Karssemeijer N
IEEE Trans Med Imaging; 2009 Nov; 28(11):1815-24. PubMed ID: 19520632
[TBL] [Abstract][Full Text] [Related]
17. Influence of using manual or automatic breast density information in a mass detection CAD system.
Oliver A; Lladó X; Freixenet J; Martí R; Pérez E; Pont J; Zwiggelaar R
Acad Radiol; 2010 Jul; 17(7):877-83. PubMed ID: 20540910
[TBL] [Abstract][Full Text] [Related]
18. An ellipse-fitting based method for efficient registration of breast masses on two mammographic views.
Pu J; Zheng B; Leader JK; Gur D
Med Phys; 2008 Feb; 35(2):487-94. PubMed ID: 18383669
[TBL] [Abstract][Full Text] [Related]
19. Automatic detection of the breast border and nipple position on digital mammograms using genetic algorithm for asymmetry approach to detection of microcalcifications.
Karnan M; Thangavel K
Comput Methods Programs Biomed; 2007 Jul; 87(1):12-20. PubMed ID: 17543415
[TBL] [Abstract][Full Text] [Related]
20. Robust Automatic Pectoral Muscle Segmentation from Mammograms Using Texture Gradient and Euclidean Distance Regression.
Bora VB; Kothari AG; Keskar AG
J Digit Imaging; 2016 Feb; 29(1):115-25. PubMed ID: 26259521
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
