In medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems.
Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method.
The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems.
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Heike Hufnagel works as a research scientist at the Institute of Medical Informatics, University of Luebeck, Germany. She holds a PhD in natural sciences.
In medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems.
Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method.
The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems.
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In medical image analysis, major areas such as radiotherapy, surgery planning, and quantitative diagnostics benefit from shape modeling to facilitate solutions to analysis, segmentation and reconstruction problems. Heike Hufnagel proposes a mathematically sound statistical shape model using correspondence probabilities instead of 1-to-1 correspondences. The explicit probabilistic model is employed as shape prior in an implicit level set segmentation. Due to the particular attributes of the new model, the challenging integration of explicit and implicit representations can be done in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation. Evaluations are performed to depict the characteristics and strengths of the new model and segmentation method.The dissertation has received the Fokusfinder award 2011 by the Innovationsstiftung Schleswig-Holstein (ISH), the Basler AG and Philips Medical Systems. 172 pp. Englisch. Codice articolo 9783834817228
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Condizione: New. Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attributes of the model, the challenging integration of explicit and implicit representations can be performed in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation method. Series: Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering. Num Pages: 170 pages, 53 black & white illustrations, 9 black & white tables, biography. BIC Classification: MQW. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 15. Weight in Grams: 257. . 2011. 2011th Edition. paperback. . . . . Codice articolo V9783834817228
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Condizione: New. Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attributes of the model, the challenging integration of explicit and implicit representations can be performed in an elegant mathematical formulation, thus combining the advantages of both explicit model and implicit segmentation method. Series: Aktuelle Forschung Medizintechnik - Latest Research in Medical Engineering. Num Pages: 170 pages, 53 black & white illustrations, 9 black & white tables, biography. BIC Classification: MQW. Category: (P) Professional & Vocational. Dimension: 210 x 148 x 15. Weight in Grams: 257. . 2011. 2011th Edition. paperback. . . . . Books ship from the US and Ireland. Codice articolo V9783834817228
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Heike Hufnagel works as a research scientist at the Institute of Medical Informatics, University of Luebeck, Germany. She holds a PhD in natural sciences.Heike Hufnagel develops a mathematically sound statistical shape model. Due to the particular attri. Codice articolo 5379693
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