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Items: 1 to 20 of 108

1.

A comparison of four versions of a computer-aided detection system for pulmonary nodules on chest radiographs.

Meziane M, Mazzone P, Novak E, Lieber ML, Lababede O, Phillips M, Obuchowski NA.

J Thorac Imaging. 2012 Jan;27(1):58-64. doi: 10.1097/RTI.0b013e3181f240bc.

PMID:
20966775
2.

A comparison of follow-up recommendations by chest radiologists, general radiologists, and pulmonologists using computer-aided detection to assess radiographs for actionable pulmonary nodules.

Meziane M, Obuchowski NA, Lababede O, Lieber ML, Philips M, Mazzone P.

AJR Am J Roentgenol. 2011 May;196(5):W542-9. doi: 10.2214/AJR.10.5048.

PMID:
21512043
3.

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
4.

Computer-aided detection improves detection of pulmonary nodules in chest radiographs beyond the support by bone-suppressed images.

Schalekamp S, van Ginneken B, Koedam E, Snoeren MM, Tiehuis AM, Wittenberg R, Karssemeijer N, Schaefer-Prokop CM.

Radiology. 2014 Jul;272(1):252-61. doi: 10.1148/radiol.14131315. Epub 2014 Mar 12.

PMID:
24635675
5.

True detection versus "accidental" detection of small lung cancer by a computer-aided detection (CAD) program on chest radiographs.

Li F, Engelmann R, Doi K, Macmahon H.

J Digit Imaging. 2010 Feb;23(1):66-72. doi: 10.1007/s10278-009-9201-0. Epub 2009 May 7.

6.

New methods for using computer-aided detection information for the detection of lung nodules on chest radiographs.

Schalekamp S, van Ginneken B, Heggelman B, Imhof-Tas M, Somers I, Brink M, Spee M, Schaefer-Prokop C, Karssemeijer N.

Br J Radiol. 2014 Apr;87(1036):20140015. doi: 10.1259/bjr.20140015. Epub 2014 Feb 17.

7.

Computer-aided nodule detection system: results in an unselected series of consecutive chest radiographs.

Li F, Engelmann R, Armato SG 3rd, MacMahon H.

Acad Radiol. 2015 Apr;22(4):475-80. doi: 10.1016/j.acra.2014.11.008. Epub 2015 Jan 13.

PMID:
25592026
8.

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.

9.

Evaluation of a real-time interactive pulmonary nodule analysis system on chest digital radiographic images: a prospective study.

van Beek EJ, Mullan B, Thompson B.

Acad Radiol. 2008 May;15(5):571-5. doi: 10.1016/j.acra.2008.01.018.

PMID:
18423313
10.

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
11.

A comparison of computer-aided detection (CAD) effectiveness in pulmonary nodule identification using different methods of bone suppression in chest radiographs.

Novak RD, Novak NJ, Gilkeson R, Mansoori B, Aandal GE.

J Digit Imaging. 2013 Aug;26(4):651-6. doi: 10.1007/s10278-012-9565-4.

12.

Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.

Jacobs C, van Rikxoort EM, Scholten ET, de Jong PA, Prokop M, Schaefer-Prokop C, van Ginneken B.

Invest Radiol. 2015 Mar;50(3):168-73. doi: 10.1097/RLI.0000000000000121.

PMID:
25478740
13.

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
14.

Small pulmonary nodules: effect of two computer-aided detection systems on radiologist performance.

Das M, Mühlenbruch G, Mahnken AH, Flohr TG, Gündel L, Stanzel S, Kraus T, Günther RW, Wildberger JE.

Radiology. 2006 Nov;241(2):564-71.

PMID:
17057074
15.

A new method based on MTANNs for cutting down false-positives: an evaluation on different versions of commercial pulmonary nodule detection CAD software.

Shi Z, Si C, Feng Y, He L, Suzuki K.

Biomed Mater Eng. 2014;24(6):2839-46. doi: 10.3233/BME-141102.

PMID:
25226989
16.

Dual energy subtraction digital radiography improves performance of a next generation computer-aided detection program.

Balkman JD, Mehandru S, DuPont E, Novak RD, Gilkeson RC.

J Thorac Imaging. 2010 Feb;25(1):41-7. doi: 10.1097/RTI.0b013e3181aa34ed.

PMID:
20160602
18.

Shape-based computer-aided detection of lung nodules in thoracic CT images.

Ye X, Lin X, Dehmeshki J, Slabaugh G, Beddoe G.

IEEE Trans Biomed Eng. 2009 Jul;56(7):1810-20. doi: 10.1109/TBME.2009.2017027.

PMID:
19527950
19.

Comparison of radiologist and CAD performance in the detection of CT-confirmed subtle pulmonary nodules on digital chest radiographs.

Bley TA, Baumann T, Saueressig U, Pache G, Treier M, Schaefer O, Neitzel U, Langer M, Kotter E.

Invest Radiol. 2008 Jun;43(6):343-8. doi: 10.1097/RLI.0b013e318168f705.

PMID:
18496038
20.

Automatic segmentation of pulmonary blood vessels and nodules based on local intensity structure analysis and surface propagation in 3D chest CT images.

Chen B, Kitasaka T, Honma H, Takabatake H, Mori M, Natori H, Mori K.

Int J Comput Assist Radiol Surg. 2012 May;7(3):465-82. doi: 10.1007/s11548-011-0638-5. Epub 2011 Jul 8.

PMID:
21739111

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