9783330805897 - Early Detection of Lung Cancer based on Sputum Color Image Analysis de Taher, Fatma (6 resultados)

Paperback. Condición: Brand New. 184 pages. 8.66x5.91x0.42 inches. In Stock.

Taschenbuch. Condición: Neu. Early Detection of Lung Cancer based on Sputum Color Image Analysis | Fatma Taher | Taschenbuch | 184 S. | Englisch | 2017 | Noor Publishing | EAN 9783330805897 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Lung cancer continues to rank as the leading cause of cancer deaths worldwide. One of the most promising techniques for early detection of cancerous cells relies on sputum cell analysis. This was the motivation behind the design and the development of a new computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of sputum color images. The proposed CAD system encompasses of four main processing steps. First is the preprocessing step which utilizes a heuristic rule-based algorithm and a Bayesian classification method using the histogram analysis. In this step, the region of interest (ROI) representing the sputum cell is detected and extracted. Then, in the second step, the mean shift segmentation is applied to segment the nuclei from the cytoplasm. The third step is the feature analysis. In this step, geometric and chromatic features are extracted from the nucleus region. These features are used in the diagnostic process of the sputum images. Finally, the diagnosis is done using a rule-based algorithm alongside the neural network and support vector machine (SVM). 184 pp. Englisch.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Taher FatmaDr. Fatma Taher is an assistant professor, Her research of interests are in signal and image processing, medical image analysis, especially in detecting of the cancerous cells. Dr. Fatma Taher has published more than 36 .

Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Lung cancer continues to rank as the leading cause of cancer deaths worldwide. One of the most promising techniques for early detection of cancerous cells relies on sputum cell analysis. This was the motivation behind the design and the development of a new computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of sputum color images. The proposed CAD system encompasses of four main processing steps. First is the preprocessing step which utilizes a heuristic rule-based algorithm and a Bayesian classification method using the histogram analysis. In this step, the region of interest (ROI) representing the sputum cell is detected and extracted. Then, in the second step, the mean shift segmentation is applied to segment the nuclei from the cytoplasm. The third step is the feature analysis. In this step, geometric and chromatic features are extracted from the nucleus region. These features are used in the diagnostic process of the sputum images. Finally, the diagnosis is done using a rule-based algorithm alongside the neural network and support vector machine (SVM).Books on Demand GmbH, Überseering 33, 22297 Hamburg 184 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Lung cancer continues to rank as the leading cause of cancer deaths worldwide. One of the most promising techniques for early detection of cancerous cells relies on sputum cell analysis. This was the motivation behind the design and the development of a new computer aided diagnosis (CAD) system for early detection of lung cancer based on the analysis of sputum color images. The proposed CAD system encompasses of four main processing steps. First is the preprocessing step which utilizes a heuristic rule-based algorithm and a Bayesian classification method using the histogram analysis. In this step, the region of interest (ROI) representing the sputum cell is detected and extracted. Then, in the second step, the mean shift segmentation is applied to segment the nuclei from the cytoplasm. The third step is the feature analysis. In this step, geometric and chromatic features are extracted from the nucleus region. These features are used in the diagnostic process of the sputum images. Finally, the diagnosis is done using a rule-based algorithm alongside the neural network and support vector machine (SVM).