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Biological Shape Analysis with Geometric Statistics and Learning

Schnappschüsse moderner Mathematik aus Oberwolfach

Biological Shape Analysis with Geometric Statistics and Learning

The advances in biomedical imaging techniques have enabled us to access the 3D shapes of a variety of structures: organs, cells, proteins. Since biological shapes are related to physiological functions, shape data may hold the key to unlocking outstanding mysteries in biomedicine. This snapshot introduces the mathematical framework of geometric statistics and learning and its applications to biomedicine.

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Mathematisches Fachgebiet

Geometrie und Topologie
Wahrscheinlichkeitstheorie und Statistik

Verbindung zu anderen Gebieten

Informatik
Biowissenschaft

Autor(en)

Saiteja Utpala, Nina Miolane

Lizenz

DOI (Digital Object Identifier)

10.14760/SNAP-2022-008-EN

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snapshot-2022-008.pdf

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snapshots: overview

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      Mathematisches Fachgebiet

      Algebra und Zahlentheorie
      Analysis
      Didaktik und Bildung
      Diskrete Mathematik und Grundlagen
      Geometrie und Topologie
      Numerik und Wissenschaftliches Rechnen
      Wahrscheinlichkeitstheorie und Statistik

      Verbindung zu anderen Gebieten

      Chemie und Geowissenschaft
      Informatik
      Ingenieurwissenschaft und Technik
      Finanzwesen
      Geistes- und Sozialwissenschaft
      Biowissenschaft
      Physik
      Überlegungen zur Mathematik

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