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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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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