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Updated: Apr 13, 2026

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CalciSeg:一种用于无监督细分成像数据的多功能方法

Yannick Günzel1, Einat Couzin-Fuchs2, Marco Paoli3

  • 1International Max Planck Research School for Quantitative Behaviour, Ecology and Evolution from lab to field, 78464 Konstanz, Germany; Department of Biology, University of Konstanz, 78464 Konstanz, Germany; Department of Collective Behavior, Max Planck Institute of Animal Behavior, 78464 Konstanz, Germany; Centre for the Advanced Study of Collective Behaviour, University of Konstanz, 78464 Konstanz, Germany.

NeuroImage
|August 2, 2024
PubMed
概括

CalciSeg提供了一种无监督的,数据驱动的方法来细分功能成像数据. 这种强大且可重复的方法克服了现有技术的局限性,使得在不同的大脑结构和成像系统中进行有效和公正的分析成为可能.

关键词:
垂线叶 垂线叶 垂线叶成像学 成像学图像细分 图像细分 图像细分昆虫昆虫是一种昆虫.源头提取 源头提取

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