155 related articles for article (PubMed ID: 30236779)
1. Performance and clinical impact of machine learning based lung nodule detection using vessel suppression in melanoma patients.
Aissa J; Schaarschmidt BM; Below J; Bethge OT; Böven J; Sawicki LM; Hoff NP; Kröpil P; Antoch G; Boos J
Clin Imaging; 2018; 52():328-333. PubMed ID: 30236779
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Integrating PET and CT information to improve diagnostic accuracy for lung nodules: A semiautomatic computer-aided method.
Nie Y; Li Q; Li F; Pu Y; Appelbaum D; Doi K
J Nucl Med; 2006 Jul; 47(7):1075-80. PubMed ID: 16818939
[TBL] [Abstract][Full Text] [Related]
4. Is the computer-aided detection scheme for lung nodule also useful in detecting lung cancer?
Goo JM; Kim HY; Lee JW; Lee HJ; Lee CH; Lee KW; Kim TJ; Lim KY; Park SH; Bae KT
J Comput Assist Tomogr; 2008; 32(4):570-5. PubMed ID: 18664845
[TBL] [Abstract][Full Text] [Related]
5. Digital tomosynthesis for evaluating metastatic lung nodules: nodule visibility, learning curves, and reading times.
Lee KH; Goo JM; Lee SM; Park CM; Bahn YE; Kim H; Song YS; Hwang EJ
Korean J Radiol; 2015; 16(2):430-9. PubMed ID: 25741205
[TBL] [Abstract][Full Text] [Related]
6. Automated detection of lung nodules in multidetector CT: influence of different reconstruction protocols on performance of a software prototype.
Gurung J; Maataoui A; Khan M; Wetter A; Harth M; Jacobi V; Vogl TJ
Rofo; 2006 Jan; 178(1):71-7. PubMed ID: 16392060
[TBL] [Abstract][Full Text] [Related]
7. Computer-assisted detection of metastatic lung tumors on computed tomography.
Yoshida Y; Sakane T; Isogai J; Suzuki Y; Miki S; Nomura Y; Nakajima J
Asian Cardiovasc Thorac Ann; 2019 Mar; 27(3):199-207. PubMed ID: 30789307
[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. Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance.
Awai K; Murao K; Ozawa A; Komi M; Hayakawa H; Hori S; Nishimura Y
Radiology; 2004 Feb; 230(2):347-52. PubMed ID: 14752180
[TBL] [Abstract][Full Text] [Related]
10. Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection.
Rubin GD; Lyo JK; Paik DS; Sherbondy AJ; Chow LC; Leung AN; Mindelzun R; Schraedley-Desmond PK; Zinck SE; Naidich DP; Napel S
Radiology; 2005 Jan; 234(1):274-83. PubMed ID: 15537839
[TBL] [Abstract][Full Text] [Related]
11. Localized thin-section CT with radiomics feature extraction and machine learning to classify early-detected pulmonary nodules from lung cancer screening.
Tu SJ; Wang CW; Pan KT; Wu YC; Wu CT
Phys Med Biol; 2018 Mar; 63(6):065005. PubMed ID: 29446758
[TBL] [Abstract][Full Text] [Related]
12. Improved lung nodule diagnosis accuracy using lung CT images with uncertain class.
Wang Z; Xin J; Sun P; Lin Z; Yao Y; Gao X
Comput Methods Programs Biomed; 2018 Aug; 162():197-209. PubMed ID: 29903487
[TBL] [Abstract][Full Text] [Related]
13. Computer-aided detection in screening CT for pulmonary nodules.
Yuan R; Vos PM; Cooperberg PL
AJR Am J Roentgenol; 2006 May; 186(5):1280-7. PubMed ID: 16632719
[TBL] [Abstract][Full Text] [Related]
14. Computer-aided diagnosis of lung cancer: the effect of training data sets on classification accuracy of lung nodules.
Gong J; Liu JY; Sun XW; Zheng B; Nie SD
Phys Med Biol; 2018 Feb; 63(3):035036. PubMed ID: 29311420
[TBL] [Abstract][Full Text] [Related]
15. Improved detection of lung nodules on chest radiographs using a commercial computer-aided diagnosis system.
Kakeda S; Moriya J; Sato H; Aoki T; Watanabe H; Nakata H; Oda N; Katsuragawa S; Yamamoto K; Doi K
AJR Am J Roentgenol; 2004 Feb; 182(2):505-10. PubMed ID: 14736690
[TBL] [Abstract][Full Text] [Related]
16. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.
Park EA; Goo JM; Lee JW; Kang CH; Lee HJ; Lee CH; Park CM; Lee HY; Im JG
Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026
[TBL] [Abstract][Full Text] [Related]
17. A novel computer-aided lung nodule detection system for CT images.
Tan M; Deklerck R; Jansen B; Bister M; Cornelis J
Med Phys; 2011 Oct; 38(10):5630-45. PubMed ID: 21992380
[TBL] [Abstract][Full Text] [Related]
18. [Computer-aided detection of small pulmonary nodules in multidetector spiral computed tomography (MSCT) in children].
Honnef D; Behrendt FF; Bakai A; Hohl C; Mahnken AH; Mertens R; Stanzel S; Günther RW; Das M
Rofo; 2008 Jun; 180(6):540-6. PubMed ID: 18504665
[TBL] [Abstract][Full Text] [Related]
19. Neural network-based computer-aided diagnosis in distinguishing malignant from benign solitary pulmonary nodules by computed tomography.
Chen H; Wang XH; Ma DQ; Ma BR
Chin Med J (Engl); 2007 Jul; 120(14):1211-5. PubMed ID: 17697569
[TBL] [Abstract][Full Text] [Related]
20. Incorporation of CAD (computer-aided detection) with thin-slice lung CT in routine 18F-FDG PET/CT imaging read-out protocol for detection of lung nodules.
Bhure U; Cieciera M; Lehnick D; Del Sol Pérez Lago M; Grünig H; Lima T; Roos JE; Strobel K
Eur J Hybrid Imaging; 2023 Sep; 7(1):17. PubMed ID: 37718372
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]