Li F - Search Results

1

Computer-aided diagnosis in thoracic CT.

Li Q, Li F, Suzuki K, Shiraishi J, Abe H, Engelmann R, Nie Y, MacMahon H, Doi K. Li Q, et al. Among authors: li f. Semin Ultrasound CT MR. 2005 Oct;26(5):357-63. doi: 10.1053/j.sult.2005.07.001. Semin Ultrasound CT MR. 2005. PMID: 16274004 Review.

2

Lung cancers missed at low-dose helical CT screening in a general population: comparison of clinical, histopathologic, and imaging findings.

Li F, Sone S, Abe H, MacMahon H, Armato SG 3rd, Doi K. Li F, et al. Radiology. 2002 Dec;225(3):673-83. doi: 10.1148/radiol.2253011375. Radiology. 2002. PMID: 12461245

3

Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program.

Armato SG 3rd, Li F, Giger ML, MacMahon H, Sone S, Doi K. Armato SG 3rd, et al. Among authors: li f. Radiology. 2002 Dec;225(3):685-92. doi: 10.1148/radiol.2253011376. Radiology. 2002. PMID: 12461246

4

[Development of an image processing scheme for chest radiographs using a dot printer].

Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. Shimosegawa M, et al. Among authors: li f, li q. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002 Sep;58(9):1268-77. doi: 10.6009/jjrt.kj00001364807. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2002. PMID: 12520223 Japanese.

5

Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images.

Aoyama M, Li Q, Katsuragawa S, Li F, Sone S, Doi K. Aoyama M, et al. Among authors: li f, li q. Med Phys. 2003 Mar;30(3):387-94. doi: 10.1118/1.1543575. Med Phys. 2003. PMID: 12674239

6

Automated lung nodule classification following automated nodule detection on CT: a serial approach.

Armato SG 3rd, Altman MB, Wilkie J, Sone S, Li F, Doi K, Roy AS. Armato SG 3rd, et al. Among authors: li f. Med Phys. 2003 Jun;30(6):1188-97. doi: 10.1118/1.1573210. Med Phys. 2003. PMID: 12852543

7

[Report on the 88th Scientific Assembly and Annual Meeting of the Radiological Society of North America: development of an image processing scheme for chest radiographs by using a dot printer].

Shimosegawa M, Aoyama M, Li Q, Abe H, Li F, Shiraishi J, Doi K. Shimosegawa M, et al. Among authors: li f, li q. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003 May;59(5):619-20. doi: 10.6009/jjrt.kj00000921799. Nihon Hoshasen Gijutsu Gakkai Zasshi. 2003. PMID: 12881690 Japanese. No abstract available.

8

Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography.

Suzuki K, Armato SG 3rd, Li F, Sone S, Doi K. Suzuki K, et al. Among authors: li f. Med Phys. 2003 Jul;30(7):1602-17. doi: 10.1118/1.1580485. Med Phys. 2003. PMID: 12906178

9

Low-dose computed tomography screening for lung cancer in a general population: characteristics of cancer in non-smokers versus smokers.

Li F, Sone S, Abe H, MacMahon H, Doi K. Li F, et al. Acad Radiol. 2003 Sep;10(9):1013-20. doi: 10.1016/s1076-6332(03)00150-8. Acad Radiol. 2003. PMID: 13678090

10

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. Uchiyama Y, et al. Among authors: li f, li q. Med Phys. 2003 Sep;30(9):2440-54. doi: 10.1118/1.1597431. Med Phys. 2003. PMID: 14528966

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