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Overview of Fungi01:29

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Fungi are a diverse group of eukaryotes more closely related to animals than other eukaryotes. Fungal cell walls comprise chitin, a polysaccharide that provides structural strength, and glucans, which contribute to flexibility and integrity. Other polysaccharides, such as mannans and galactosans, may supplement or replace chitin in some fungi. These adaptations, along with their preference for acidic environments and tolerance for high osmotic pressure, enable fungi to thrive in various...
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Classification is the process of organizing organisms into hierarchically inclusive groups based on their phenotypic similarities or evolutionary relationships. A species comprises one or more strains, and closely related species are grouped into genera. Genera are further classified into families, families into orders, orders into classes, and so forth, up to the domain level, which is the broadest taxonomic rank derived from a combination of phenotypic and genotypic data.The nomenclature of...
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Molecular taxonomy has revolutionized the understanding and classification of bacteria, providing precise insights into their diversity, evolutionary relationships, and ecological roles. By utilizing molecular techniques such as DNA sequencing and fingerprinting, researchers have made significant strides in various fields related to bacterial studies.Resolving Taxonomic AmbiguitiesMolecular taxonomy has been instrumental in distinguishing closely related bacterial species initially thought to...
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Phylum Ascomycota, a major division within the subkingdom Dikarya, comprises a diverse range of fungal species, including both unicellular yeasts and filamentous molds such as Aspergillus and Penicillium. These fungi thrive in a variety of habitats, from aquatic ecosystems to terrestrial environments, playing crucial ecological and economic roles.Morphology and ReproductionThe defining characteristic of Ascomycetes, commonly referred to as sac fungi, is the ascus—a sac-like structure that...
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相关实验视频

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Single-throughput Complementary High-resolution Analytical Techniques for Characterizing Complex Natural Organic Matter Mixtures
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组合集和可解释的深度学习框架,用于高精度分类野生食用巨型真菌.

Aras Fahrettin Korkmaz1, Fatih Ekinci2, Eda Kumru3

  • 1Faculty of Health Sciences Nutrition, Dietetics Department, Şirinevler Campus, İstanbul Kültür University, 34191 Istanbul, Türkiye.

Biology
|December 30, 2025
PubMed
概括

准确的野生食用巨型真菌的识别是至关重要的. 结合CNN和可解释AI的新型组合模型实现了97.36%的准确性,改善了食品安全和生物多样性保护.

关键词:
深度学习是一种深度学习.可食用的类.组合模型组合模型组合模型可以解释的人工智能AI种类分类 种类分类 种类分类

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科学领域:

  • 菌类学 菌类学是指菌类学.
  • 计算机科学 计算机科学
  • 人工智能的人工智能

背景情况:

  • 准确识别野生食用巨型真菌对于生物多样性,食品安全和生态可持续性至关重要.
  • 可食用和有毒物种之间的形态相似性带来了重大识别挑战.

研究的目的:

  • 开发和评估先进的机器学习模型,以精确识别野生食用宏观真菌.
  • 通过可解释AI (XAI) 技术提高模型的解释性.

主要方法:

  • 对24种野生食用宏观真菌物种的精选数据集的分析.
  • 基准测试六个最先进的卷积神经网络 (CNN) 和四个组合配置.
  • 将EfficientNetB0,ResNet50和RegNetY集成到一个分层投票组合模型中.
  • 应用XAI方法 (Grad-CAM,Eigen-CAM,LIME) 来实现模型的可解释性.

主要成果:

  • 组合模型实现了最高的精度 (97.36%),AUC (0.9996) 和MCC (0.9725).
  • 在个别CNN中,EfficientNetB0表现最好 (95.55%准确率).
  • 通过XAI的方法,成功地突出了生物相关的区域,提高了模型的透明度.

结论:

  • 工程集体学习与XAI相结合,为细粒度真菌分类提供了强大的和可扩展的解决方案.
  • 这种方法大大促进了真菌学研究,并为生态监测和物种识别提供了更广泛的应用潜力.