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Biological Shape Analysis with Geometric Statistics and Learning

Oberwolfach'tan

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.

If you are interested in translating this Snapshot, please contact us at info@imaginary.org

Matematiksel konular

Geometri ve Topoloji
Olasılık Kuramı ve İstatistik

Diğer alanlarla ilişkiler

Bilgisayar Bilimeri
Yaşam Bilimleri

Yazar(lar)

Saiteja Utpala, Nina Miolane

Lisans

DOI (Dijital nesne belirteci)

10.14760/SNAP-2022-008-EN

PDF indir

snapshot-2022-008.pdf

PDF

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      Matematiksel konular

      Cebir ve Sayılar Kuramı
      Analiz
      Eğitim ve Eğitim Bilimi
      Ayrık Matematik ve Matematiğin Temelleri
      Geometri ve Topoloji
      Nümerik ve Hesap Analizi
      Olasılık Kuramı ve İstatistik

      Diğer alanlarla ilişkiler

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      Finans
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      Fizik
      Matematik Üzerine Düşünceler

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