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Items: 1 to 20 of 116

1.

Computer aided automatic detection of malignant lesions in diffuse optical mammography.

Busch DR, Guo W, Choe R, Durduran T, Feldman MD, Mies C, Rosen MA, Schnall MD, Czerniecki BJ, Tchou J, DeMichele A, Putt ME, Yodh AG.

Med Phys. 2010 Apr;37(4):1840-9.

2.
3.

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. doi: 10.1016/j.acra.2010.06.009. Epub 2010 Jul 22.

4.

Computer-aided detection of clustered microcalcifications in digital breast tomosynthesis: a 3D approach.

Sahiner B, Chan HP, Hadjiiski LM, Helvie MA, Wei J, Zhou C, Lu Y.

Med Phys. 2012 Jan;39(1):28-39. doi: 10.1118/1.3662072.

5.

Bilateral analysis based false positive reduction for computer-aided mass detection.

Wu YT, Wei J, Hadjiiski LM, Sahiner B, Zhou C, Ge J, Shi J, Zhang Y, Chan HP.

Med Phys. 2007 Aug;34(8):3334-44.

6.

Characterizing breast lesions through robust multimodal data fusion using independent diffuse optical and x-ray breast imaging.

Deng B, Fradkin M, Rouet JM, Moore RH, Kopans DB, Boas DA, Lundqvist M, Fang Q.

J Biomed Opt. 2015 Aug;20(8):80502. doi: 10.1117/1.JBO.20.8.080502.

7.

Computer aided detection of clusters of microcalcifications on full field digital mammograms.

Ge J, Sahiner B, Hadjiiski LM, Chan HP, Wei J, Helvie MA, Zhou C.

Med Phys. 2006 Aug;33(8):2975-88.

8.

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.

9.

Near-infrared imaging of the breast using omocianine as a fluorescent dye: results of a placebo-controlled, clinical, multicenter trial.

Poellinger A, Persigehl T, Mahler M, Bahner M, Ponder SL, Diekmann F, Bremer C, Moesta T.

Invest Radiol. 2011 Nov;46(11):697-704. doi: 10.1097/RLI.0b013e318229ff25.

PMID:
21788905
10.

Comparison of diffuse optical tomography, ultrasound elastography and mammography in the diagnosis of breast tumors.

Zhang H, Qin D, Yang Z, Wang K, Sun F, Li B, Cui G.

Ultrasound Med Biol. 2014 Jan;40(1):1-10. doi: 10.1016/j.ultrasmedbio.2013.09.008. Epub 2013 Nov 7.

PMID:
24210860
11.

Investigation of reading mode and relative sensitivity as factors that influence reader performance when using computer-aided detection software.

Paquerault S, Samuelson FW, Petrick N, Myers KJ, Smith RC.

Acad Radiol. 2009 Sep;16(9):1095-107. doi: 10.1016/j.acra.2009.03.024. Epub 2009 Jun 11.

PMID:
19523855
12.

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. doi: 10.1016/j.acra.2011.10.026. Epub 2011 Dec 14.

13.

Spatial second-derivative image processing: an application to optical mammography to enhance the detection of breast tumors.

Pera VE, Heffer EL, Siebold H, Schutz O, Heywang-Kobrunner S, Gotz L, Heinig A, Fantini S.

J Biomed Opt. 2003 Jul;8(3):517-24.

PMID:
12880359
14.

Multimodality computer-aided breast cancer diagnosis with FFDM and DCE-MRI.

Yuan Y, Giger ML, Li H, Bhooshan N, Sennett CA.

Acad Radiol. 2010 Sep;17(9):1158-67. doi: 10.1016/j.acra.2010.04.015.

15.

Performance of computer-aided detection applied to full-field digital mammography in detection of breast cancers.

Sadaf A, Crystal P, Scaranelo A, Helbich T.

Eur J Radiol. 2011 Mar;77(3):457-61. doi: 10.1016/j.ejrad.2009.08.024. Epub 2009 Oct 28.

PMID:
19875260
16.

Improving performance of computer-aided detection scheme by combining results from two machine learning classifiers.

Park SC, Pu J, Zheng B.

Acad Radiol. 2009 Mar;16(3):266-74. doi: 10.1016/j.acra.2008.08.012.

17.

An interactive system for computer-aided diagnosis of breast masses.

Wang X, Li L, Liu W, Xu W, Lederman D, Zheng B.

J Digit Imaging. 2012 Oct;25(5):570-9.

18.

Mutual information-based template matching scheme for detection of breast masses: from mammography to digital breast tomosynthesis.

Mazurowski MA, Lo JY, Harrawood BP, Tourassi GD.

J Biomed Inform. 2011 Oct;44(5):815-23. doi: 10.1016/j.jbi.2011.04.008. Epub 2011 May 1.

19.

Investigation of optimal use of computer-aided detection systems: the role of the "machine" in decision making process.

Paquerault S, Hardy PT, Wersto N, Chen J, Smith RC.

Acad Radiol. 2010 Sep;17(9):1112-21. doi: 10.1016/j.acra.2010.04.010. Epub 2010 Jun 3.

PMID:
20605489
20.

Effectiveness of computer-aided detection in community mammography practice.

Fenton JJ, Abraham L, Taplin SH, Geller BM, Carney PA, D'Orsi C, Elmore JG, Barlow WE; Breast Cancer Surveillance Consortium.

J Natl Cancer Inst. 2011 Aug 3;103(15):1152-61. doi: 10.1093/jnci/djr206. Epub 2011 Jul 27.

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