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Biological Shape Analysis with Geometric Statistics and Learning

Instantanés de recherche mathématique à 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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Sujet mathématique

Géométrie et Topologie
Théorie des probabilités et statistique

Liens avec d'autres domaines

Informatique
Sciences de la vie

Auteur(s)

Saiteja Utpala, Nina Miolane

Licence

DOI

10.14760/SNAP-2022-008-EN

Télécharger PDF

snapshot-2022-008.pdf

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snapshots: overview

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      Sujet mathématique

      Algèbre et théorie des nombres
      Analyse
      Pédagogie et éducation
      Mathématiques discrètes et fondements des mathématiques
      Géométrie et Topologie
      Calcul numérique et calcul scientifique
      Théorie des probabilités et statistique

      Liens avec d'autres domaines

      Chimie et sciences de la terre
      Informatique
      Ingénierie et technologie
      Finances
      Humanités et sciences sociales
      Sciences de la vie
      Physique
      Pensées mathématiques

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