146 related articles for article (PubMed ID: 19964999)
1. Gradient vector flow based active shape model for lung field segmentation in chest radiographs.
Xu T; Mandal M; Long R; Basu A
Annu Int Conf IEEE Eng Med Biol Soc; 2009; 2009():3561-4. PubMed ID: 19964999
[TBL] [Abstract][Full Text] [Related]
2. An edge-region force guided active shape approach for automatic lung field detection in chest radiographs.
Xu T; Mandal M; Long R; Cheng I; Basu A
Comput Med Imaging Graph; 2012 Sep; 36(6):452-63. PubMed ID: 22608158
[TBL] [Abstract][Full Text] [Related]
3. 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]
4. An automatic method for lung segmentation and reconstruction in chest X-ray using deep neural networks.
Souza JC; Bandeira Diniz JO; Ferreira JL; França da Silva GL; CorrĂȘa Silva A; de Paiva AC
Comput Methods Programs Biomed; 2019 Aug; 177():285-296. PubMed ID: 31319957
[TBL] [Abstract][Full Text] [Related]
5. Shape-based computer-aided detection of lung nodules in thoracic CT images.
Ye X; Lin X; Dehmeshki J; Slabaugh G; Beddoe G
IEEE Trans Biomed Eng; 2009 Jul; 56(7):1810-20. PubMed ID: 19527950
[TBL] [Abstract][Full Text] [Related]
6. Segmenting lung fields in serial chest radiographs using both population-based and patient-specific shape statistics.
Shi Y; Qi F; Xue Z; Chen L; Ito K; Matsuo H; Shen D
IEEE Trans Med Imaging; 2008 Apr; 27(4):481-94. PubMed ID: 18390345
[TBL] [Abstract][Full Text] [Related]
7. Computer-aided detection of pulmonary pathology in pediatric chest radiographs.
Mouton A; Pitcher RD; Douglas TS
Med Image Comput Comput Assist Interv; 2010; 13(Pt 3):619-25. PubMed ID: 20879452
[TBL] [Abstract][Full Text] [Related]
8. Shape "break-and-repair" strategy and its application to automated medical image segmentation.
Pu J; Paik DS; Meng X; Roos JE; Rubin GD
IEEE Trans Vis Comput Graph; 2011 Jan; 17(1):115-24. PubMed ID: 21071791
[TBL] [Abstract][Full Text] [Related]
9. Automated cavity detection of infectious pulmonary tuberculosis in chest radiographs.
Xu T; Cheng I; Mandal M
Annu Int Conf IEEE Eng Med Biol Soc; 2011; 2011():5178-81. PubMed ID: 22255505
[TBL] [Abstract][Full Text] [Related]
10. Detecting tuberculosis in radiographs using combined lung masks.
Jaeger S; Karargyris A; Antani S; Thoma G
Annu Int Conf IEEE Eng Med Biol Soc; 2012; 2012():4978-81. PubMed ID: 23367045
[TBL] [Abstract][Full Text] [Related]
11. Hierarchical shape statistical model for segmentation of lung fields in chest radiographs.
Shi Y; Shen D
Med Image Comput Comput Assist Interv; 2008; 11(Pt 1):417-24. PubMed ID: 18979774
[TBL] [Abstract][Full Text] [Related]
12. Smart spotting of pulmonary TB cavities using CT images.
Swanly VE; Selvam L; Kumar PM; Renjith JA; Arunachalam M; Shunmuganathan KL
Comput Math Methods Med; 2013; 2013():864854. PubMed ID: 24367393
[TBL] [Abstract][Full Text] [Related]
13. Texture classification-based segmentation of lung affected by interstitial pneumonia in high-resolution CT.
Korfiatis P; Kalogeropoulou C; Karahaliou A; Kazantzi A; Skiadopoulos S; Costaridou L
Med Phys; 2008 Dec; 35(12):5290-302. PubMed ID: 19175088
[TBL] [Abstract][Full Text] [Related]
14. Performance analysis of a new computer aided detection system for identifying lung nodules on chest radiographs.
Hardie RC; Rogers SK; Wilson T; Rogers A
Med Image Anal; 2008 Jun; 12(3):240-58. PubMed ID: 18178123
[TBL] [Abstract][Full Text] [Related]
15. Computer-aided detection in chest radiography based on artificial intelligence: a survey.
Qin C; Yao D; Shi Y; Song Z
Biomed Eng Online; 2018 Aug; 17(1):113. PubMed ID: 30134902
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. [Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics].
Shi YH; Qi FH; Luan HX; Wu GR
Zhongguo Yi Liao Qi Xie Za Zhi; 2006 Jul; 30(4):264-7, 255. PubMed ID: 17039934
[TBL] [Abstract][Full Text] [Related]
18. Use of CAD to evaluate lung cancer on chest radiography.
Chen JJ; White CS
J Thorac Imaging; 2008 May; 23(2):93-6. PubMed ID: 18520566
[TBL] [Abstract][Full Text] [Related]
19. Neural networks for computer-aided diagnosis: detection of lung nodules in chest radiograms.
Coppini G; Diciotti S; Falchini M; Villari N; Valli G
IEEE Trans Inf Technol Biomed; 2003 Dec; 7(4):344-57. PubMed ID: 15000360
[TBL] [Abstract][Full Text] [Related]
20. Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics.
Shi Y; Qi F; Xue Z; Ito K; Matsuo H; Shen D
Med Image Comput Comput Assist Interv; 2006; 9(Pt 1):83-91. PubMed ID: 17354877
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]