These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
126 related articles for article (PubMed ID: 9268905)
1. Classification of normal and abnormal lungs with interstitial diseases by rule-based method and artificial neural networks. Katsuragawa S; Doi K; MacMahon H; Monnier-Cholley L; Ishida T; Kobayashi T J Digit Imaging; 1997 Aug; 10(3):108-14. PubMed ID: 9268905 [TBL] [Abstract][Full Text] [Related]
2. Computerized analysis of interstitial disease in chest radiographs: improvement of geometric-pattern feature analysis. Ishida T; Katsuragawa S; Kobayashi T; MacMahon H; Doi K Med Phys; 1997 Jun; 24(6):915-24. PubMed ID: 9198027 [TBL] [Abstract][Full Text] [Related]
3. Computerized analysis of pneumoconiosis in digital chest radiography: effect of artificial neural network trained with power spectra. Okumura E; Kawashita I; Ishida T J Digit Imaging; 2011 Dec; 24(6):1126-32. PubMed ID: 21153856 [TBL] [Abstract][Full Text] [Related]
4. Application of artificial neural networks for quantitative analysis of image data in chest radiographs for detection of interstitial lung disease. Ishida T; Katsuragawa S; Ashizawa K; MacMahon H; Doi K J Digit Imaging; 1998 Nov; 11(4):182-92. PubMed ID: 9848051 [TBL] [Abstract][Full Text] [Related]
5. Computerized analysis of interstitial infiltrates on chest radiographs: a new scheme based on geometric pattern features and Fourier analysis. Monnier-Cholley L; MacMahon H; Katsuragawa S; Morishita J; Doi K Acad Radiol; 1995 Jun; 2(6):455-62. PubMed ID: 9419591 [TBL] [Abstract][Full Text] [Related]
6. 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]
7. Artificial neural networks (ANNs) for differential diagnosis of interstitial lung disease: results of a simulation test with actual clinical cases. Abe H; Ashizawa K; Li F; Matsuyama N; Fukushima A; Shiraishi J; MacMahon H; Doi K Acad Radiol; 2004 Jan; 11(1):29-37. PubMed ID: 14746399 [TBL] [Abstract][Full Text] [Related]
8. Computer-aided diagnosis for interstitial infiltrates in chest radiographs: optical-density dependence of texture measures. Morishita J; Doi K; Katsuragawa S; Monnier-Cholley L; MacMahon H Med Phys; 1995 Sep; 22(9):1515-22. PubMed ID: 8531883 [TBL] [Abstract][Full Text] [Related]
9. Quantitative analysis of geometric-pattern features of interstitial infiltrates in digital chest radiographs: preliminary results. Katsuragawa S; Doi K; MacMahon H; Monnier-Cholley L; Morishita J; Ishida T J Digit Imaging; 1996 Aug; 9(3):137-44. PubMed ID: 8854264 [TBL] [Abstract][Full Text] [Related]
10. Artificial neural networks in chest radiography: application to the differential diagnosis of interstitial lung disease. Ashizawa K; Ishida T; MacMahon H; Vyborny CJ; Katsuragawa S; Doi K Acad Radiol; 1999 Jan; 6(1):2-9. PubMed ID: 9891146 [TBL] [Abstract][Full Text] [Related]
12. Image feature analysis and computer-aided diagnosis in digital radiography: classification of normal and abnormal lungs with interstitial disease in chest images. Katsuragawa S; Doi K; MacMahon H Med Phys; 1989; 16(1):38-44. PubMed ID: 2646516 [TBL] [Abstract][Full Text] [Related]
13. Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs. Shiraishi J; Li F; Doi K Acad Radiol; 2007 Jan; 14(1):28-37. PubMed ID: 17178363 [TBL] [Abstract][Full Text] [Related]
14. Development of CAD based on ANN analysis of power spectra for pneumoconiosis in chest radiographs: effect of three new enhancement methods. Okumura E; Kawashita I; Ishida T Radiol Phys Technol; 2014 Jul; 7(2):217-27. PubMed ID: 24414539 [TBL] [Abstract][Full Text] [Related]
15. Development of an improved CAD scheme for automated detection of lung nodules in digital chest images. Xu XW; Doi K; Kobayashi T; MacMahon H; Giger ML Med Phys; 1997 Sep; 24(9):1395-403. PubMed ID: 9304567 [TBL] [Abstract][Full Text] [Related]
16. 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]
17. Computerized Classification of Pneumoconiosis on Digital Chest Radiography Artificial Neural Network with Three Stages. Okumura E; Kawashita I; Ishida T J Digit Imaging; 2017 Aug; 30(4):413-426. PubMed ID: 28108817 [TBL] [Abstract][Full Text] [Related]
18. Diffuse nodular lung disease on chest radiographs: a pilot study of characterization by fractal dimension. Floyd CE; Patz EF; Lo JY; Vittitoe NF; Stambaugh LE AJR Am J Roentgenol; 1996 Nov; 167(5):1185-7. PubMed ID: 8911177 [TBL] [Abstract][Full Text] [Related]
19. Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography. Arzhaeva Y; Prokop M; Tax DM; De Jong PA; Schaefer-Prokop CM; van Ginneken B Med Phys; 2007 Dec; 34(12):4798-809. PubMed ID: 18196808 [TBL] [Abstract][Full Text] [Related]
20. Image feature analysis and computer-aided diagnosis in digital radiography: detection and characterization of interstitial lung disease in digital chest radiographs. Katsuragawa S; Doi K; MacMahon H Med Phys; 1988; 15(3):311-9. PubMed ID: 3405134 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]