85 related articles for article (PubMed ID: 20457419)
1. What's the control in studies measuring the effect of computer-aided detection (CAD) on observer performance?
Obuchowski NA; Meziane M; Dachman AH; Lieber ML; Mazzone PJ
Acad Radiol; 2010 Jun; 17(6):761-7. PubMed ID: 20457419
[TBL] [Abstract][Full Text] [Related]
2. 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. PubMed ID: 20605489
[TBL] [Abstract][Full Text] [Related]
3. Analysis of observer performance in known-location tasks for tomographic image reconstruction.
Yendiki A; Fessler JA
IEEE Trans Med Imaging; 2006 Jan; 25(1):28-41. PubMed ID: 16398412
[TBL] [Abstract][Full Text] [Related]
4. Differentiation of common large sellar-suprasellar masses effect of artificial neural network on radiologists' diagnosis performance.
Kitajima M; Hirai T; Katsuragawa S; Okuda T; Fukuoka H; Sasao A; Akter M; Awai K; Nakayama Y; Ikeda R; Yamashita Y; Yano S; Kuratsu J; Doi K
Acad Radiol; 2009 Mar; 16(3):313-20. PubMed ID: 19201360
[TBL] [Abstract][Full Text] [Related]
5. Reader variability: what we can learn from computer-aided detection experiments.
Freedman M; Osicka T
J Am Coll Radiol; 2006 Jun; 3(6):446-55. PubMed ID: 17412100
[TBL] [Abstract][Full Text] [Related]
6. Application of computer-aided diagnosis (CAD) in MR-mammography (MRM): do we really need whole lesion time curve distribution analysis?
Baltzer PA; Renz DM; Kullnig PE; Gajda M; Camara O; Kaiser WA
Acad Radiol; 2009 Apr; 16(4):435-42. PubMed ID: 19268855
[TBL] [Abstract][Full Text] [Related]
7. Automated detection of prostatic adenocarcinoma from high-resolution ex vivo MRI.
Madabhushi A; Feldman MD; Metaxas DN; Tomaszeweski J; Chute D
IEEE Trans Med Imaging; 2005 Dec; 24(12):1611-25. PubMed ID: 16350920
[TBL] [Abstract][Full Text] [Related]
8. Robust real-time pattern matching using bayesian sequential hypothesis testing.
Pele O; Werman M
IEEE Trans Pattern Anal Mach Intell; 2008 Aug; 30(8):1427-43. PubMed ID: 18566496
[TBL] [Abstract][Full Text] [Related]
9. 1000-Case Reader Study of Radiologists' Performance in Interpretation of Automated Breast Volume Scanner Images with a Computer-Aided Detection System.
Xu X; Bao L; Tan Y; Zhu L; Kong F; Wang W
Ultrasound Med Biol; 2018 Aug; 44(8):1694-1702. PubMed ID: 29853222
[TBL] [Abstract][Full Text] [Related]
10. Clinical MR-mammography: are computer-assisted methods superior to visual or manual measurements for curve type analysis? A systematic approach.
Baltzer PA; Freiberg C; Beger S; Vag T; Dietzel M; Herzog AB; Gajda M; Camara O; Kaiser WA
Acad Radiol; 2009 Sep; 16(9):1070-6. PubMed ID: 19523854
[TBL] [Abstract][Full Text] [Related]
11. Diagnostic accuracy and reading time to detect intracranial aneurysms on MR angiography using a computer-aided diagnosis system.
Kakeda S; Korogi Y; Arimura H; Hirai T; Katsuragawa S; Aoki T; Doi K
AJR Am J Roentgenol; 2008 Feb; 190(2):459-65. PubMed ID: 18212233
[TBL] [Abstract][Full Text] [Related]
12. VIEWDEX: an efficient and easy-to-use software for observer performance studies.
Håkansson M; Svensson S; Zachrisson S; Svalkvist A; Båth M; Månsson LG
Radiat Prot Dosimetry; 2010; 139(1-3):42-51. PubMed ID: 20200105
[TBL] [Abstract][Full Text] [Related]
13. CADe for early detection of breast cancer-current status and why we need to continue to explore new approaches.
Nishikawa RM; Gur D
Acad Radiol; 2014 Oct; 21(10):1320-1. PubMed ID: 25086951
[TBL] [Abstract][Full Text] [Related]
14. A signal-detection experiment measuring the effect of computer-aided detection on radiologists' performance.
Ikeda M; Shigaki T; Yamauchi K
Med Decis Making; 2000; 20(3):343-51. PubMed ID: 10929857
[TBL] [Abstract][Full Text] [Related]
15. The effect of image display size on observer performance an assessment of variance components.
Gur D; Klym AH; King JL; Maitz GS; Mello-Thoms C; Rockette HE; Thaete FL
Acad Radiol; 2006 Apr; 13(4):409-13. PubMed ID: 16554219
[TBL] [Abstract][Full Text] [Related]
16. When and why might a computer-aided detection (CAD) system interfere with visual search? An eye-tracking study.
Drew T; Cunningham C; Wolfe JM
Acad Radiol; 2012 Oct; 19(10):1260-7. PubMed ID: 22958720
[TBL] [Abstract][Full Text] [Related]
17. Validation and statistical power comparison of methods for analyzing free-response observer performance studies.
Chakraborty DP
Acad Radiol; 2008 Dec; 15(12):1554-66. PubMed ID: 19000872
[TBL] [Abstract][Full Text] [Related]
18. Variability in observer performance studies experimental observations.
Gur D; Rockette HE; Maitz GS; King JL; Klym AH; Bandos AI
Acad Radiol; 2005 Dec; 12(12):1527-33. PubMed ID: 16321741
[TBL] [Abstract][Full Text] [Related]
19. Assessment of analysis-of-variance-based methods to quantify the random variations of observers in medical imaging measurements: guidelines to the investigator.
Zeggelink WF; Hart AA; Gilhuijs KG
Med Phys; 2004 Jul; 31(7):1996-2007. PubMed ID: 15305452
[TBL] [Abstract][Full Text] [Related]
20. Ideal AFROC and FROC observers.
Khurd P; Liu B; Gindi G
IEEE Trans Med Imaging; 2010 Feb; 29(2):375-86. PubMed ID: 20129845
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
