261 related articles for article (PubMed ID: 26961983)
21. Region growing algorithm combined with morphology and skeleton analysis for segmenting airway tree in CT images.
Duan HH; Gong J; Sun XW; Nie SD
J Xray Sci Technol; 2020; 28(2):311-331. PubMed ID: 32039883
[TBL] [Abstract][Full Text] [Related]
22. Segmentation and Image Analysis of Abnormal Lungs at CT: Current Approaches, Challenges, and Future Trends.
Mansoor A; Bagci U; Foster B; Xu Z; Papadakis GZ; Folio LR; Udupa JK; Mollura DJ
Radiographics; 2015; 35(4):1056-76. PubMed ID: 26172351
[TBL] [Abstract][Full Text] [Related]
23. [High-resolution computerized tomography of the lungs: bases, findings, indications].
Hauser M; Russi EW; Marincek B
Schweiz Med Wochenschr; 1996 Mar; 126(10):398-408. PubMed ID: 8643940
[TBL] [Abstract][Full Text] [Related]
24. Automatic segmentation of lung parenchyma in the presence of diseases based on curvature of ribs.
Prasad MN; Brown MS; Ahmad S; Abtin F; Allen J; da Costa I; Kim HJ; McNitt-Gray MF; Goldin JG
Acad Radiol; 2008 Sep; 15(9):1173-80. PubMed ID: 18692759
[TBL] [Abstract][Full Text] [Related]
25. 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]
26. Unsupervised class labeling of diffuse lung diseases using frequent attribute patterns.
Mabu S; Obayashi M; Kuremoto T; Hashimoto N; Hirano Y; Kido S
Int J Comput Assist Radiol Surg; 2017 Mar; 12(3):519-528. PubMed ID: 27576334
[TBL] [Abstract][Full Text] [Related]
27. 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; Corrêa Silva A; de Paiva AC
Comput Methods Programs Biomed; 2019 Aug; 177():285-296. PubMed ID: 31319957
[TBL] [Abstract][Full Text] [Related]
28. Automatic lung segmentation using control feedback system: morphology and texture paradigm.
Noor NM; Than JC; Rijal OM; Kassim RM; Yunus A; Zeki AA; Anzidei M; Saba L; Suri JS
J Med Syst; 2015 Mar; 39(3):22. PubMed ID: 25666926
[TBL] [Abstract][Full Text] [Related]
29. Diffuse interstitial lung disease--evaluation with high-resolution computed tomography.
Herman M; Kolek V
Acta Univ Palacki Olomuc Fac Med; 1993; 135():25-30. PubMed ID: 7976669
[TBL] [Abstract][Full Text] [Related]
30. Review of high-resolution CT of the lung.
Corcoran HL; Renner WR; Milstein MJ
Radiographics; 1992 Sep; 12(5):917-39; discussion 940-1. PubMed ID: 1529134
[TBL] [Abstract][Full Text] [Related]
31. The diagnostic accuracy of high-resolution computed tomography in diffuse infiltrative lung diseases.
Nishimura K; Izumi T; Kitaichi M; Nagai S; Itoh H
Chest; 1993 Oct; 104(4):1149-55. PubMed ID: 8404183
[TBL] [Abstract][Full Text] [Related]
32. Efficacy evaluation of 2D, 3D U-Net semantic segmentation and atlas-based segmentation of normal lungs excluding the trachea and main bronchi.
Nemoto T; Futakami N; Yagi M; Kumabe A; Takeda A; Kunieda E; Shigematsu N
J Radiat Res; 2020 Mar; 61(2):257-264. PubMed ID: 32043528
[TBL] [Abstract][Full Text] [Related]
33. Toward automated segmentation of the pathological lung in CT.
Sluimer I; Prokop M; van Ginneken B
IEEE Trans Med Imaging; 2005 Aug; 24(8):1025-38. PubMed ID: 16092334
[TBL] [Abstract][Full Text] [Related]
34. Automatic Organ Segmentation for CT Scans Based on Super-Pixel and Convolutional Neural Networks.
Liu X; Guo S; Yang B; Ma S; Zhang H; Li J; Sun C; Jin L; Li X; Yang Q; Fu Y
J Digit Imaging; 2018 Oct; 31(5):748-760. PubMed ID: 29679242
[TBL] [Abstract][Full Text] [Related]
35. [New method of scoring lung changes using computed tomography in patients with cystic fibrosis].
Iwanowska B
Med Wieku Rozwoj; 2012; 16(4):290-302. PubMed ID: 23378408
[TBL] [Abstract][Full Text] [Related]
36. An Optimized Superpixel Clustering Approach for High-Resolution Chest CT Image Segmentation.
Pinheiro da Rosa R; Cordeiro d'Ornellas M
Stud Health Technol Inform; 2015; 216():1045. PubMed ID: 26262344
[TBL] [Abstract][Full Text] [Related]
37. Automatic Approach for Lung Segmentation with Juxta-Pleural Nodules from Thoracic CT Based on Contour Tracing and Correction.
Wang J; Guo H
Comput Math Methods Med; 2016; 2016():2962047. PubMed ID: 27974907
[TBL] [Abstract][Full Text] [Related]
38. Computer-aided pulmonary image analysis in small animal models.
Xu Z; Bagci U; Mansoor A; Kramer-Marek G; Luna B; Kubler A; Dey B; Foster B; Papadakis GZ; Camp JV; Jonsson CB; Bishai WR; Jain S; Udupa JK; Mollura DJ
Med Phys; 2015 Jul; 42(7):3896-910. PubMed ID: 26133591
[TBL] [Abstract][Full Text] [Related]
39. 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]
40. 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]
[Previous] [Next] [New Search]
