A Non-Stationary Markovian Modeling for the Lung Nodule Detection in CT

Author:

Preteux Françoise

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. W. Wiessmann, P. Vassallo, T. Wendler, H. Lenzen, M. Roos, U. Bick, P. Peters. Detection of Lung Nodules in Digitized Chest Images. Comparative Receiver Operating Characterisric Study of 1024 and 2048-Pixels Matrix. Radiol. Soc. of North America, Chicago, U.S., Nov. 1990, pp. 249.

2. F. Preteux, N. Merlet, Ph. Grenier, M.M. Mouellhi. Algorithms for automated evaluation of pulmonary lesions by high resolution CT via image analysis. Radiol. Soc. of North America. Chicago, U.S., Nov. 1989, pp. 416.

3. M. Remy-Jardin, J. Remy, R. Beuscart, Ch. Marquette. Subpleural Micronodules in Diffuse Infiltrative Lung Diseases: CT Evaluation and Pathologic Correlations. Radiol. Soc. of North America. Chicago, U.S., Nov. 1990, pp. 155.

4. F. Preteux, M. Remy, Y. Hel-Or. Pattern Recognition and Estimation of Micronodular Profusion in Pulmonary CT Images. Radiol. Soc. of North America. Chicago, U.S., Nov. 1990, pp. 307.

5. IL Yoshimura, M.L. Giger, K. Doi, N. Aim, H. Mac-Mahon. Use of Morphological Filters in the Computerized Detection of Lung Nodules hi Digital Chest Images. Radiol. Soc. of North America. Chicago, U.S., Nov. 1989, pp. 347.

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