Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features

Schoening T, Hans V, Nattkemper TW (2011)
In: Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell, . Berlin, Heidelberg: Springer: 44-48.

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Abstract
The analysis of architectural features in neural tissue sections and the identification of distinct regions is challenging for computer aided diagnosis (CAD) in neuropathology. Due to the difficulty of locating a tissue’s origin and alignment as well as the vast variety of structures within such images an orientation independent (i. e. rotation invariant) approach for tissue region segmentation has to be found to encode the structural features of neural layer architecture in the tissue. We propose to apply the Ripley’s-L function, originating from the field of plant ecol- ogy, to compute feature vectors encoding the spatial statistics of point patterns described by selectively stained cells. Combining the Ripley’s- L features with unsupervised clustering enables a segmentation of tissue sections into neuropathological areas.
Publishing Year
Conference
Bildverarbeitung für die Medizin (BVM)
Location
Lübeck, Germany
Conference Date
2011-03-20 – 2011-03-22
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Schoening T, Hans V, Nattkemper TW. Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features. In: Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell. Berlin, Heidelberg: Springer; 2011: 44-48.
Schoening, T., Hans, V., & Nattkemper, T. W. (2011). Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features. Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck, 44-48.
Schoening, T., Hans, V., and Nattkemper, T. W. (2011). “Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features” in Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck Informatik aktuell (Berlin, Heidelberg: Springer), 44-48.
Schoening, T., Hans, V., & Nattkemper, T.W., 2011. Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features. In Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell. Berlin, Heidelberg: Springer, pp. 44-48.
T. Schoening, V. Hans, and T.W. Nattkemper, “Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features”, Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck, Informatik aktuell, Berlin, Heidelberg: Springer, 2011, pp.44-48.
Schoening, T., Hans, V., Nattkemper, T.W.: Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features. Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Informatik aktuell. p. 44-48. Springer, Berlin, Heidelberg (2011).
Schoening, Timm, Hans, Volkmar, and Nattkemper, Tim Wilhelm. “Towards improved epilepsia diagnosis by unsupervised segmentation of neuropathology tissue sections using Ripley’s-L features”. Bildverarbeitung für die Medizin 2011:Algorithmen - Systeme - Anwendungen Proceedings des Workshops vom 20. - 22. März 2011 in Lübeck. Berlin, Heidelberg: Springer, 2011. Informatik aktuell. 44-48.
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