Biological Shape Analysis with Geometric Statistics and Learning

오버불파크에서 찍은 현대수학의 면모

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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수학적 주제

기하학/위상수학

확률론/통계학

다른 분야와의 연관성

컴퓨터 과학

생명 과학

저자

Saiteja Utpala, Nina Miolane

라이선스

CC BY-SA-4.0

디지털 객체 식별자(DOI)

10.14760/SNAP-2022-008-EN

PDF 다운로드

application/pdf

snapshot-2022-008.pdf

PDF

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수학적 주제

대수학/정수론

해석학

수학교육/교수법

이산수학/수학기초론

기하학/위상수학

수치해석/과학계산

확률론/통계학

다른 분야와의 연관성

화학 및 지구과학

컴퓨터 과학

공학

금융

인문/사회과학

생명 과학

물리학

수학 전반에 대한 소고

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