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.

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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

snapshots: overview

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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

Kimya ve Yer Bilimler
Bilgisayar Bilimeri
Mühendislik ve Teknoloji
Finans
Beşeri ve Sosyal Bilimler
Yaşam Bilimleri
Fizik
Matematik Üzerine Düşünceler

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