193 related articles for article (PubMed ID: 26337439)
1. A novel bone suppression method that improves lung nodule detection : Suppressing dedicated bone shadows in radiographs while preserving the remaining signal.
von Berg J; Young S; Carolus H; Wolz R; Saalbach A; Hidalgo A; Giménez A; Franquet T
Int J Comput Assist Radiol Surg; 2016 Apr; 11(4):641-55. PubMed ID: 26337439
[TBL] [Abstract][Full Text] [Related]
2. Image-processing technique for suppressing ribs in chest radiographs by means of massive training artificial neural network (MTANN).
Suzuki K; Abe H; MacMahon H; Doi K
IEEE Trans Med Imaging; 2006 Apr; 25(4):406-16. PubMed ID: 16608057
[TBL] [Abstract][Full Text] [Related]
3. 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. PubMed ID: 23617482
[TBL] [Abstract][Full Text] [Related]
4. Conventional chest radiography vs dual-energy computed radiography in the detection and characterization of pulmonary nodules.
Kelcz F; Zink FE; Peppler WW; Kruger DG; Ergun DL; Mistretta CA
AJR Am J Roentgenol; 1994 Feb; 162(2):271-8. PubMed ID: 8310908
[TBL] [Abstract][Full Text] [Related]
5. Lung nodule detection by microdose CT versus chest radiography (standard and dual-energy subtracted).
Ebner L; Bütikofer Y; Ott D; Huber A; Landau J; Roos JE; Heverhagen JT; Christe A
AJR Am J Roentgenol; 2015 Apr; 204(4):727-35. PubMed ID: 25794062
[TBL] [Abstract][Full Text] [Related]
6. JOURNAL CLUB: Computer-Aided Detection of Lung Nodules on CT With a Computerized Pulmonary Vessel Suppressed Function.
Lo SB; Freedman MT; Gillis LB; White CS; Mun SK
AJR Am J Roentgenol; 2018 Mar; 210(3):480-488. PubMed ID: 29336601
[TBL] [Abstract][Full Text] [Related]
7. Bone suppressed images improve radiologists' detection performance for pulmonary nodules in chest radiographs.
Schalekamp S; van Ginneken B; Meiss L; Peters-Bax L; Quekel LG; Snoeren MM; Tiehuis AM; Wittenberg R; Karssemeijer N; Schaefer-Prokop CM
Eur J Radiol; 2013 Dec; 82(12):2399-405. PubMed ID: 24113431
[TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 24635675
[TBL] [Abstract][Full Text] [Related]
9. Lung nodules: improved detection with software that suppresses the rib and clavicle on chest radiographs.
Freedman MT; Lo SC; Seibel JC; Bromley CM
Radiology; 2011 Jul; 260(1):265-73. PubMed ID: 21493789
[TBL] [Abstract][Full Text] [Related]
10. Improved detection of subtle lung nodules by use of chest radiographs with bone suppression imaging: receiver operating characteristic analysis with and without localization.
Li F; Hara T; Shiraishi J; Engelmann R; MacMahon H; Doi K
AJR Am J Roentgenol; 2011 May; 196(5):W535-41. PubMed ID: 21512042
[TBL] [Abstract][Full Text] [Related]
11. Deep Convolutional Neural Network-based Software Improves Radiologist Detection of Malignant Lung Nodules on Chest Radiographs.
Sim Y; Chung MJ; Kotter E; Yune S; Kim M; Do S; Han K; Kim H; Yang S; Lee DJ; Choi BW
Radiology; 2020 Jan; 294(1):199-209. PubMed ID: 31714194
[TBL] [Abstract][Full Text] [Related]
12. One-shot dual-energy subtraction chest imaging with computed radiography: clinical evaluation of film images.
Ishigaki T; Sakuma S; Ikeda M
Radiology; 1988 Jul; 168(1):67-72. PubMed ID: 3289096
[TBL] [Abstract][Full Text] [Related]
13. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
[TBL] [Abstract][Full Text] [Related]
14. Relationship Between Tube Voltage and Physical Image Quality of Pulmonary Nodules on Chest Radiographs Obtained Using the Bone-Suppression Technique.
Takagi S; Yaegashi T; Ishikawa M
Acad Radiol; 2019 Jul; 26(7):e174-e179. PubMed ID: 30269955
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided diagnostic scheme for the detection of lung nodules on chest radiographs: localized search method based on anatomical classification.
Shiraishi J; Li Q; Suzuki K; Engelmann R; Doi K
Med Phys; 2006 Jul; 33(7):2642-53. PubMed ID: 16898468
[TBL] [Abstract][Full Text] [Related]
16. Color radiography in lung nodule detection and characterization: comparison with conventional gray scale radiography.
Song I; Yi JG; Park JH; Lee KS; Chung MJ
BMC Med Imaging; 2016 Aug; 16(1):48. PubMed ID: 27549084
[TBL] [Abstract][Full Text] [Related]
17. Gray-scale reversal for the detection of pulmonary nodules on a PACS workstation.
De Boo DW; Uffmann M; Bipat S; Boorsma EF; Scheerder MJ; Weber M; Schaefer-Prokop CM
AJR Am J Roentgenol; 2011 Nov; 197(5):1096-100. PubMed ID: 22021501
[TBL] [Abstract][Full Text] [Related]
18. Computerized detection of lung nodules by means of "virtual dual-energy" radiography.
Chen S; Suzuki K
IEEE Trans Biomed Eng; 2013 Feb; 60(2):369-78. PubMed ID: 23193306
[TBL] [Abstract][Full Text] [Related]
19. Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening.
Arimura H; Katsuragawa S; Suzuki K; Li F; Shiraishi J; Sone S; Doi K
Acad Radiol; 2004 Jun; 11(6):617-29. PubMed ID: 15172364
[TBL] [Abstract][Full Text] [Related]
20. 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. PubMed ID: 24625084
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]