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Items: 1 to 20 of 148

1.

Multiple diagnostic task performance in CT examination of the chest.

Schartz KM, Berbaum KS, Madsen MT, Thompson BH, Mullan BF, Caldwell RT, Hammett B, Ellingson AN, Franken EA Jr.

Br J Radiol. 2013 Jan;86(1021):20110799. doi: 10.1259/bjr/18244135. Erratum in: Br J Radiol. 2013 Feb;86(1022):20139001.

PMID:
23239691
2.

Multiple diagnostic task performance in CT examination of the chest.

Schartz KM, Berbaum KS, Madsen MT, Thompson BH, Mullan BF, Caldwell RT, Hammett B, Ellingson AN, Franken EA Jr.

Br J Radiol. 2013 Jan;86(1021):18244135. doi: 10.1259/bjr/18244135. Epub 2012 Sep 6.

3.

Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.

Hirose T, Nitta N, Shiraishi J, Nagatani Y, Takahashi M, Murata K.

Acad Radiol. 2008 Dec;15(12):1505-12. doi: 10.1016/j.acra.2008.06.009.

PMID:
19000867
4.

Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Sahiner B, Chan HP, Hadjiiski LM, Cascade PN, Kazerooni EA, Chughtai AR, Poopat C, Song T, Frank L, Stojanovska J, Attili A.

Acad Radiol. 2009 Dec;16(12):1518-30. doi: 10.1016/j.acra.2009.08.006.

5.

Quantitative nodule detection in low dose chest CT scans: new template modeling and evaluation for CAD system design.

Farag AA, El-Baz A, Gimelfarb G, El-Ghar MA, Eldiasty T.

Med Image Comput Comput Assist Interv. 2005;8(Pt 1):720-8.

PMID:
16685910
6.

Computer-aided detection of solid lung nodules in lossy compressed multidetector computed tomography chest exams.

Raffy P, Gaudeau Y, Miller DP, Moureaux JM, Castellino RA.

Acad Radiol. 2006 Oct;13(10):1194-203.

PMID:
16979068
8.

Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance.

Way T, Chan HP, Hadjiiski L, Sahiner B, Chughtai A, Song TK, Poopat C, Stojanovska J, Frank L, Attili A, Bogot N, Cascade PN, Kazerooni EA.

Acad Radiol. 2010 Mar;17(3):323-32. doi: 10.1016/j.acra.2009.10.016.

9.

The GGO lesions detected by computer-aided detection system on chest MDCT images.

Lee JW, Jeong JW, Lee S, Yoo DS, Kim S.

Conf Proc IEEE Eng Med Biol Soc. 2006;1:1983-5.

PMID:
17945689
10.

A computerized scheme for lung nodule detection in multiprojection chest radiography.

Guo W, Li Q, Boyce SJ, McAdams HP, Shiraishi J, Doi K, Samei E.

Med Phys. 2012 Apr;39(4):2001-12. doi: 10.1118/1.3694096.

11.

Improved detection of pulmonary nodules on energy-subtracted chest radiographs with a commercial computer-aided diagnosis software: comparison with human observers.

Szucs-Farkas Z, Patak MA, Yuksel-Hatz S, Ruder T, Vock P.

Eur Radiol. 2010 Jun;20(6):1289-96. doi: 10.1007/s00330-009-1667-0. Epub 2009 Nov 21.

PMID:
19936752
12.

Does computer-aided diagnosis for lung tumors change satisfaction of search in chest radiography?

Berbaum KS, Caldwell RT, Schartz KM, Thompson BH, Franken EA Jr.

Acad Radiol. 2007 Sep;14(9):1069-76.

13.

Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.

Park EA, Goo JM, Lee JW, Kang CH, Lee HJ, Lee CH, Park CM, Lee HY, Im JG.

Invest Radiol. 2009 Feb;44(2):105-13. doi: 10.1097/RLI.0b013e318190fcfc.

PMID:
19034026
14.

A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.

Messay T, Hardie RC, Rogers SK.

Med Image Anal. 2010 Jun;14(3):390-406. doi: 10.1016/j.media.2010.02.004. Epub 2010 Feb 19.

PMID:
20346728
15.

Comparison of dual-energy subtraction and electronic bone suppression combined with computer-aided detection on chest radiographs: effect on human observers' performance in nodule detection.

Szucs-Farkas Z, Schick A, Cullmann JL, Ebner L, Megyeri B, Vock P, Christe A.

AJR Am J Roentgenol. 2013 May;200(5):1006-13. doi: 10.2214/AJR.12.8877.

PMID:
23617482
16.

Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: preliminary study of 48 cases.

Yanagawa M, Honda O, Yoshida S, Ono Y, Inoue A, Daimon T, Sumikawa H, Mihara N, Johkoh T, Tomiyama N, Nakamura H.

Acad Radiol. 2009 Aug;16(8):924-33. doi: 10.1016/j.acra.2009.01.030. Epub 2009 Apr 25.

PMID:
19394873
17.

A computer-aided diagnosis system for detection of lung nodules in chest radiographs with an evaluation on a public database.

Schilham AM, van Ginneken B, Loog M.

Med Image Anal. 2006 Apr;10(2):247-58. Epub 2005 Nov 15.

PMID:
16293441
18.
19.

Computer aided characterization of the solitary pulmonary nodule using volumetric and contrast enhancement features.

Shah SK, McNitt-Gray MF, Rogers SR, Goldin JG, Suh RD, Sayre JW, Petkovska I, Kim HJ, Aberle DR.

Acad Radiol. 2005 Oct;12(10):1310-9.

PMID:
16179208
20.

Usefulness of computer-aided diagnosis schemes for vertebral fractures and lung nodules on chest radiographs.

Kasai S, Li F, Shiraishi J, Doi K.

AJR Am J Roentgenol. 2008 Jul;191(1):260-5. doi: 10.2214/AJR.07.3091.

PMID:
18562756

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