151 related articles for article (PubMed ID: 18002815)
1. A 3-D CAD tool for CT colonography.
Cardillo FA; Cesaraccio M; Starita A; Neri E
Annu Int Conf IEEE Eng Med Biol Soc; 2007; 2007():3757-60. PubMed ID: 18002815
[TBL] [Abstract][Full Text] [Related]
2. Automatic colon polyp flagging via geometric and texture features.
Fiori M; Musé P; Aguirre S; Sapiro G
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3170-3. PubMed ID: 21096596
[TBL] [Abstract][Full Text] [Related]
3. Detection of protrusions in curved folded surfaces applied to automated polyp detection in CT colonography.
van Wijk C; van Ravesteijn VF; Vos FM; Truyen R; de Vries AH; Stoker J; van Vliet LJ
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):471-8. PubMed ID: 17354806
[TBL] [Abstract][Full Text] [Related]
4. Mixture of expert 3D massive-training ANNs for reduction of multiple types of false positives in CAD for detection of polyps in CT colonography.
Suzuki K; Yoshida H; Näppi J; Armato SG; Dachman AH
Med Phys; 2008 Feb; 35(2):694-703. PubMed ID: 18383691
[TBL] [Abstract][Full Text] [Related]
5. CAD: how it works, how to use it, performance.
Regge D; Halligan S
Eur J Radiol; 2013 Aug; 82(8):1171-6. PubMed ID: 22595503
[TBL] [Abstract][Full Text] [Related]
6. Efficacy of computer-aided detection as a second reader for 6-9-mm lesions at CT colonography: multicenter prospective trial.
Regge D; Della Monica P; Galatola G; Laudi C; Zambon A; Correale L; Asnaghi R; Barbaro B; Borghi C; Campanella D; Cassinis MC; Ferrari R; Ferraris A; Hassan C; Golfieri R; Iafrate F; Iussich G; Laghi A; Massara R; Neri E; Sali L; Venturini S; Gandini G
Radiology; 2013 Jan; 266(1):168-76. PubMed ID: 23151831
[TBL] [Abstract][Full Text] [Related]
7. A two-level approach towards semantic colon segmentation: removing extra-colonic findings.
Lu L; Wolf M; Liang J; Dundar M; Bi J; Salganicoff M
Med Image Comput Comput Assist Interv; 2009; 12(Pt 2):1009-16. PubMed ID: 20426210
[TBL] [Abstract][Full Text] [Related]
8. A pipeline for computer aided polyp detection.
Hong W; Qiu F; Kaufman A
IEEE Trans Vis Comput Graph; 2006; 12(5):861-8. PubMed ID: 17080810
[TBL] [Abstract][Full Text] [Related]
9. Colon unfolding via skeletal subspace deformation.
Sudarsky S; Geiger B; Chefd'hotel C; Guendel L
Med Image Comput Comput Assist Interv; 2008; 11(Pt 2):205-12. PubMed ID: 18982607
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided detection for computed tomographic colonography screening: a prospective comparison of a double-reading paradigm with first-reader computer-aided detection against second-reader computer-aided detection.
Iussich G; Correale L; Senore C; Hassan C; Segnan N; Campanella D; Bert A; Galatola G; Laudi C; Regge D
Invest Radiol; 2014 Mar; 49(3):173-82. PubMed ID: 24442160
[TBL] [Abstract][Full Text] [Related]
11. Colonic polyp segmentation in CT colonography-based on fuzzy clustering and deformable models.
Yao J; Miller M; Franaszek M; Summers RM
IEEE Trans Med Imaging; 2004 Nov; 23(11):1344-52. PubMed ID: 15554123
[TBL] [Abstract][Full Text] [Related]
12. Visual phrase learning and its application in computed tomographic colonography.
Wang S; McKenna M; Wei Z; Liu J; Liu P; Summers RM
Med Image Comput Comput Assist Interv; 2013; 16(Pt 1):243-50. PubMed ID: 24505672
[TBL] [Abstract][Full Text] [Related]
13. Shape filtering for false positive reduction at computed tomography colonography.
Miranda AA; Chowdhury TA; Ghita O; Whelan PF
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):84-92. PubMed ID: 17354759
[TBL] [Abstract][Full Text] [Related]
14. A fully automatic CAD-CTC system based on curvature analysis for standard and low-dose CT data.
Chowdhury TA; Whelan PF; Ghita O
IEEE Trans Biomed Eng; 2008 Mar; 55(3):888-901. PubMed ID: 18334380
[TBL] [Abstract][Full Text] [Related]
15. A probabilistic model for haustral curvatures with applications to colon CAD.
Melonakos J; Mendonça P; Bhotka R; Sirohey S
Med Image Comput Comput Assist Interv; 2007; 10(Pt 2):420-7. PubMed ID: 18044596
[TBL] [Abstract][Full Text] [Related]
16. Influence of computer-aided detection false-positives on reader performance and diagnostic confidence for CT colonography.
Taylor SA; Brittenden J; Lenton J; Lambie H; Goldstone A; Wylie PN; Tolan D; Burling D; Honeyfield L; Bassett P; Halligan S
AJR Am J Roentgenol; 2009 Jun; 192(6):1682-9. PubMed ID: 19457835
[TBL] [Abstract][Full Text] [Related]
17. Symmetric curvature patterns for colonic polyp detection.
Jerebko A; Lakare S; Cathier P; Periaswamy S; Bogoni L
Med Image Comput Comput Assist Interv; 2006; 9(Pt 2):169-76. PubMed ID: 17354769
[TBL] [Abstract][Full Text] [Related]
18. Computerized detection of colorectal masses in CT colonography based on fuzzy merging and wall-thickening analysis.
Näppi JJ; Frimmel H; Dachman AH; Yoshida H
Med Phys; 2004 Apr; 31(4):860-72. PubMed ID: 15125004
[TBL] [Abstract][Full Text] [Related]
19. CT colonography: automated measurement of colonic polyps compared with manual techniques--human in vitro study.
Taylor SA; Slater A; Halligan S; Honeyfield L; Roddie ME; Demeshski J; Amin H; Burling D
Radiology; 2007 Jan; 242(1):120-8. PubMed ID: 17105850
[TBL] [Abstract][Full Text] [Related]
20. Hybrid segmentation of colon filled with air and opacified fluid for CT colonography.
Franaszek M; Summers RM; Pickhardt PJ; Choi JR
IEEE Trans Med Imaging; 2006 Mar; 25(3):358-68. PubMed ID: 16524091
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]