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168 related items for PubMed ID: 18779932
1. Multi slice computed tomography in the study of pulmonary metastases. Angelelli G, Grimaldi V, Spinelli F, Scardapane A, Sardaro A. Radiol Med; 2008 Oct; 113(7):954-67. PubMed ID: 18779932 [Abstract] [Full Text] [Related]
2. [Multidetector-row CT of the lungs: Multiplanar reconstructions and maximum intensity projections for the detection of pulmonary nodules]. Eibel R, Türk TR, Kulinna C, Herrmann K, Reiser MF. Rofo; 2001 Sep; 173(9):815-21. PubMed ID: 11582561 [Abstract] [Full Text] [Related]
4. Effect of slab thickness on the CT detection of pulmonary nodules: use of sliding thin-slab maximum intensity projection and volume rendering. Kawel N, Seifert B, Luetolf M, Boehm T. AJR Am J Roentgenol; 2009 May; 192(5):1324-9. PubMed ID: 19380557 [Abstract] [Full Text] [Related]
5. Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. Gruden JF, Ouanounou S, Tigges S, Norris SD, Klausner TS. AJR Am J Roentgenol; 2002 Jul; 179(1):149-57. PubMed ID: 12076925 [Abstract] [Full Text] [Related]
14. Automatic Pulmonary Nodule Detection in CT Scans Using Convolutional Neural Networks Based on Maximum Intensity Projection. Zheng S, Guo J, Cui X, Veldhuis RNJ, Oudkerk M, van Ooijen PMA. IEEE Trans Med Imaging; 2020 Mar; 39(3):797-805. PubMed ID: 31425026 [Abstract] [Full Text] [Related]
20. Effect of Slab Thickness on the Detection of Pulmonary Nodules by Use of CT Maximum and Minimum Intensity Projection. Li WJ, Chu ZG, Zhang Y, Li Q, Zheng YN, Lv FJ. AJR Am J Roentgenol; 2019 Sep; 213(3):562-567. PubMed ID: 31063429 [Abstract] [Full Text] [Related] Page: [Next] [New Search]