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Updated: Jun 5, 2025

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
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使用深度倾斜模型的真菌-真菌相互作用的自动分类

Marjan Mansourvar1, Jonathan Funk1, Søren Dalsgård Petersen1

  • 1Department of Biotechnology and Biomedicine (DTU Bioengineering) Technical University of Denmark, Søltofts Plads, Kgs. Lyngby 2800, Denmark.

Computational and structural biotechnology journal
|December 10, 2024
PubMed
概括

这项研究引入了一种人工智能驱动的方法来分类真菌相互作用,自动化以前的主观的过程. 这种机器学习方法显著提高了识别有益于农业的生物控制真菌的效率和可重复性.

关键词:
自动化自动化自动化自动化自动化生物控制生物控制计算机视觉 计算机视觉 计算机视觉深度学习是一种深度学习.在真菌生长过程中,真菌的生长.机器学习是机器学习.

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Fungal Group Zygomycota01:29

Fungal Group Zygomycota

Zygomycota, previously classified as a distinct fungal group, are primarily terrestrial, saprophytic molds that play a crucial role as decomposers. Recent phylogenetic studies have revealed that these fungi are now divided into two major clades — Mucoromycota, which includes many symbiotic species, and Zoopagomycota, which primarily consists of parasitic and pathogenic fungi. These groups exhibit distinct ecological roles and reproductive strategies while sharing key structural and...