96 related articles for article (PubMed ID: 25821509)
1. A sparse representation based method to classify pulmonary patterns of diffuse lung diseases.
Zhao W; Xu R; Hirano Y; Tachibana R; Kido S
Comput Math Methods Med; 2015; 2015():567932. PubMed ID: 25821509
[TBL] [Abstract][Full Text] [Related]
2. Classification of diffuse lung diseases patterns by a sparse representation based method on HRCT images.
Zhao W; Xu R; Hirano Y; Tachibana R; Kido S
Annu Int Conf IEEE Eng Med Biol Soc; 2013; 2013():5457-60. PubMed ID: 24110971
[TBL] [Abstract][Full Text] [Related]
3. Classification of diffuse lung disease patterns on high-resolution computed tomography by a bag of words approach.
Xu R; Hirano Y; Tachibana R; Kido S
Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):183-90. PubMed ID: 22003698
[TBL] [Abstract][Full Text] [Related]
4. High resolution multidetector CT-aided tissue analysis and quantification of lung fibrosis.
Zavaletta VA; Bartholmai BJ; Robb RA
Acad Radiol; 2007 Jul; 14(7):772-87. PubMed ID: 17574128
[TBL] [Abstract][Full Text] [Related]
5. Quantitative computerized analysis of diffuse lung disease in high-resolution computed tomography.
Uchiyama Y; Katsuragawa S; Abe H; Shiraishi J; Li F; Li Q; Zhang CT; Suzuki K; Doi K
Med Phys; 2003 Sep; 30(9):2440-54. PubMed ID: 14528966
[TBL] [Abstract][Full Text] [Related]
6. Computerized detection of diffuse lung disease in MDCT: the usefulness of statistical texture features.
Wang J; Li F; Doi K; Li Q
Phys Med Biol; 2009 Nov; 54(22):6881-99. PubMed ID: 19864701
[TBL] [Abstract][Full Text] [Related]
7. Multiple kernel learning for classification of diffuse lung disease using HRCT lung images.
Vo KT; Sowmya A
Annu Int Conf IEEE Eng Med Biol Soc; 2010; 2010():3085-8. PubMed ID: 21095740
[TBL] [Abstract][Full Text] [Related]
8. Sparse coded image super-resolution using K-SVD trained dictionary based on regularized orthogonal matching pursuit.
Sajjad M; Mehmood I; Baik SW
Biomed Mater Eng; 2015; 26 Suppl 1():S1399-407. PubMed ID: 26405902
[TBL] [Abstract][Full Text] [Related]
9. Research on a pulmonary nodule segmentation method combining fast self-adaptive FCM and classification.
Liu H; Zhang CM; Su ZY; Wang K; Deng K
Comput Math Methods Med; 2015; 2015():185726. PubMed ID: 25945120
[TBL] [Abstract][Full Text] [Related]
10. Computer-aided classification of interstitial lung diseases via MDCT: 3D adaptive multiple feature method (3D AMFM).
Xu Y; van Beek EJ; Hwanjo Y; Guo J; McLennan G; Hoffman EA
Acad Radiol; 2006 Aug; 13(8):969-78. PubMed ID: 16843849
[TBL] [Abstract][Full Text] [Related]
11. Sparse classification for computer aided diagnosis using learned dictionaries.
Liu M; Lu L; Ye X; Yu S; Salganicoff M
Med Image Comput Comput Assist Interv; 2011; 14(Pt 3):41-8. PubMed ID: 22003682
[TBL] [Abstract][Full Text] [Related]
12. Vessel tree segmentation in presence of interstitial lung disease in MDCT.
Korfiatis PD; Kalogeropoulou C; Karahaliou AN; Kazantzi AD; Costaridou LI
IEEE Trans Inf Technol Biomed; 2011 Mar; 15(2):214-20. PubMed ID: 21317088
[TBL] [Abstract][Full Text] [Related]
13. A new computationally efficient CAD system for pulmonary nodule detection in CT imagery.
Messay T; Hardie RC; Rogers SK
Med Image Anal; 2010 Jun; 14(3):390-406. PubMed ID: 20346728
[TBL] [Abstract][Full Text] [Related]
14. Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.
Hirose T; Nitta N; Shiraishi J; Nagatani Y; Takahashi M; Murata K
Acad Radiol; 2008 Dec; 15(12):1505-12. PubMed ID: 19000867
[TBL] [Abstract][Full Text] [Related]
15. Commercially available computer-aided detection system for pulmonary nodules on thin-section images using 64 detectors-row CT: preliminary study of 48 cases.
Yanagawa M; Honda O; Yoshida S; Ono Y; Inoue A; Daimon T; Sumikawa H; Mihara N; Johkoh T; Tomiyama N; Nakamura H
Acad Radiol; 2009 Aug; 16(8):924-33. PubMed ID: 19394873
[TBL] [Abstract][Full Text] [Related]
16. Texture-based identification and characterization of interstitial pneumonia patterns in lung multidetector CT.
Korfiatis PD; Karahaliou AN; Kazantzi AD; Kalogeropoulou C; Costaridou LI
IEEE Trans Inf Technol Biomed; 2010 May; 14(3):675-80. PubMed ID: 19906596
[TBL] [Abstract][Full Text] [Related]
17. Computer recognition of regional lung disease patterns.
Uppaluri R; Hoffman EA; Sonka M; Hartley PG; Hunninghake GW; McLennan G
Am J Respir Crit Care Med; 1999 Aug; 160(2):648-54. PubMed ID: 10430742
[TBL] [Abstract][Full Text] [Related]
18. Evaluation of algorithm for extraction of lung regions in CT exams.
Melo P; Vasconcelos G; Diniz P; França C; Diniz J; Novaes M
Stud Health Technol Inform; 2013; 192():1176. PubMed ID: 23920950
[TBL] [Abstract][Full Text] [Related]
19. Subjective similarity of patterns of diffuse interstitial lung disease on thin-section CT: an observer performance study.
Li F; Kumazawa S; Shiraishi J; Li Q; Engelmann R; Caligiuri P; MacMahon H; Doi K
Acad Radiol; 2009 Apr; 16(4):477-85. PubMed ID: 19268860
[TBL] [Abstract][Full Text] [Related]
20. [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]
[Next] [New Search]