121 related articles for article (PubMed ID: 1428736)
1. Image feature analysis of false-positive diagnoses produced by automated detection of lung nodules.
Matsumoto T; Yoshimura H; Doi K; Giger ML; Kano A; MacMahon H; Abe K; Montner SM
Invest Radiol; 1992 Aug; 27(8):587-97. PubMed ID: 1428736
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Image feature analysis and computer-aided diagnosis in digital radiography. 3. Automated detection of nodules in peripheral lung fields.
Giger ML; Doi K; MacMahon H
Med Phys; 1988; 15(2):158-66. PubMed ID: 3386584
[TBL] [Abstract][Full Text] [Related]
4. False-positive reduction in computer-aided diagnostic scheme for detecting nodules in chest radiographs by means of massive training artificial neural network.
Suzuki K; Shiraishi J; Abe H; MacMahon H; Doi K
Acad Radiol; 2005 Feb; 12(2):191-201. PubMed ID: 15721596
[TBL] [Abstract][Full Text] [Related]
5. Computerized detection of pulmonary nodules in chest radiographs based on morphological features and wavelet snake model.
Keserci B; Yoshida H
Med Image Anal; 2002 Dec; 6(4):431-47. PubMed ID: 12494950
[TBL] [Abstract][Full Text] [Related]
6. Potential usefulness of computerized nodule detection in screening programs for lung cancer.
Matsumoto T; Yoshimura H; Giger ML; Doi K; MacMahon H; Montner SM; Nakanishi T
Invest Radiol; 1992 Jun; 27(6):471-5. PubMed ID: 1607261
[TBL] [Abstract][Full Text] [Related]
7. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images.
Xu XW; Doi K; Kobayashi T; MacMahon H; Giger ML
Med Phys; 1997 Sep; 24(9):1395-403. PubMed ID: 9304567
[TBL] [Abstract][Full Text] [Related]
8. 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]
9. Reduction of false positives in computerized detection of lung nodules in chest radiographs using artificial neural networks, discriminant analysis, and a rule-based scheme.
Wu YC; Doi K; Giger ML; Metz CE; Zhang W
J Digit Imaging; 1994 Nov; 7(4):196-207. PubMed ID: 7858017
[TBL] [Abstract][Full Text] [Related]
10. 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. PubMed ID: 16293441
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Computerized scheme for the detection of pulmonary nodules. A nonlinear filtering technique.
Yoshimura H; Giger ML; Doi K; MacMahon H; Montner SM
Invest Radiol; 1992 Feb; 27(2):124-9. PubMed ID: 1601603
[TBL] [Abstract][Full Text] [Related]
13. 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]
14. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs.
Shiraishi J; Li F; Doi K
Acad Radiol; 2007 Jan; 14(1):28-37. PubMed ID: 17178363
[TBL] [Abstract][Full Text] [Related]
15. Computerized detection of pulmonary nodules in digital chest images: use of morphological filters in reducing false-positive detections.
Giger ML; Ahn N; Doi K; MacMahon H; Metz CE
Med Phys; 1990; 17(5):861-5. PubMed ID: 2233573
[TBL] [Abstract][Full Text] [Related]
16. Local contralateral subtraction based on bilateral symmetry of lung for reduction of false positives in computerized detection of pulmonary nodules.
Yoshida H
IEEE Trans Biomed Eng; 2004 May; 51(5):778-89. PubMed ID: 15132504
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Computer-aided diagnosis for the detection and classification of lung cancers on chest radiographs ROC analysis of radiologists' performance.
Shiraishi J; Abe H; Li F; Engelmann R; MacMahon H; Doi K
Acad Radiol; 2006 Aug; 13(8):995-1003. PubMed ID: 16843852
[TBL] [Abstract][Full Text] [Related]
19. 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. PubMed ID: 20160602
[TBL] [Abstract][Full Text] [Related]
20. Computer-aided detection of lung nodules: false positive reduction using a 3D gradient field method and 3D ellipsoid fitting.
Ge Z; Sahiner B; Chan HP; Hadjiiski LM; Cascade PN; Bogot N; Kazerooni EA; Wei J; Zhou C
Med Phys; 2005 Aug; 32(8):2443-54. PubMed ID: 16193773
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]