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Liver Segmentation from CT Scans: A Survey

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Applications of Fuzzy Sets Theory (WILF 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4578))

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Abstract

In this paper we describe the state of the art of the semi-automatic and automatic techniques for liver volume extraction from abdominal CT. In the recent years this research focus has gained a lot of importance in the field of medical image processing since it is the first and fundamental step of any automated technique for the automatic liver disease diagnosis, liver volume measurement, and 3D liver volume rendering from CT images.

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Authors and Affiliations

  1. Università degli Studi di Milano, Dipartimento di Scienze dell’Informazione, Via Comelico 39, 20135 Milano, Italy

    Paola Campadelli & Elena Casiraghi

Authors
  1. Paola Campadelli
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  2. Elena Casiraghi
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Editor information

Francesco Masulli Sushmita Mitra Gabriella Pasi

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© 2007 Springer-Verlag Berlin Heidelberg

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Campadelli, P., Casiraghi, E. (2007). Liver Segmentation from CT Scans: A Survey. In: Masulli, F., Mitra, S., Pasi, G. (eds) Applications of Fuzzy Sets Theory. WILF 2007. Lecture Notes in Computer Science(), vol 4578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73400-0_66

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  • DOI: https://doi.org/10.1007/978-3-540-73400-0_66

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-73399-7

  • Online ISBN: 978-3-540-73400-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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