可解释的卷积神经网络架构,用于高性能分类的气体类巨的分类
Eda Kumru1, Fatih Ekinci2, Abdullah Aydoğan3
1Graduate School of Natural and Applied Sciences, Ankara University, 06830, Ankara, Turkey.
Scientific reports
|November 17, 2025
概括
这项研究引入了一个深度学习框架,用于分类六种类真菌物种,实现高精度. 人工智能模型为真菌识别和生物多样性评估提供了一种透明和有效的方法.
科学领域:
- 菌类学 菌类学是指菌类学.
- 计算生物学 计算生物学
- 人工智能的人工智能
背景情况:
- 气类真菌在形态上是多样化的,在分类学上是具有挑战性的,因为它们的演变趋同,并有封闭的果实体.
- 准确的分类对于了解真菌的生物多样性和生态作用至关重要.
研究的目的:
- 开发和评估一种新的深度学习框架,用于准确地分类六种气体菌巨物种.
- 评估各种卷积神经网络 (CNN) 的性能,效率和可解释性,用于真菌识别.
主要方法:
- 使用了1200张六种宏观真菌物种的高分辨率图像数据集.
- 经过预先训练的11个CNN (DenseNet121,ResNeXt,RepVGG,ShuffleNetV2) 进行了对分类进行微调.
- 使用可解释的AI技术 (Grad-CAM,引导反向传播) 来实现模型的可解释性.
主要成果:
- 丹斯网121实现了最高的准确性 (96.11%),F1得分 (96.09%),以及AUC (99.89%).
- ShuffleNetV2显示出最快的推断时间 (0.80秒),而RepVGG显示出最高的能源效率 (16.5%).
- 可解释的AI方法突出显示了生物相关的图像区域,提高了模型的透明度.
结论:
- 深度学习模型可以有效地以高准确性和透明度对类菌进行分类.
- 拟议的框架具有可扩展性和适应性,用于生物分类和生物多样性监测的更广泛应用.
- 这种人工智能驱动的方法为自动化生物多样性评估提供了强大的解决方案.
相关概念视频
01:24Microbial Classification System
888
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...
888
01:26Fungal Phylum Basidiomycota
837
Basidiomycota is a diverse phylum of fungi that includes ecologically significant decomposers such as white rot fungi, symbionts like mycorrhizal fungi, plant pathogens such as rusts and smuts, and edible species like Agaricus bisporus (the common button mushroom). These fungi play crucial roles in nutrient cycling, symbiotic relationships, and even human health. Their defining feature is the basidium, a microscopic club-shaped structure responsible for producing basidiospores.Fruiting Bodies...
837
01:28Fungal Phylum Microsporidia
395
Microsporidia are a group of obligate intracellular fungi that were initially classified as protists but were later reclassified based on phylogenetic, molecular, and structural evidence linking them to the Chytridiomycota. These unicellular, non-motile organisms are highly specialized parasites that infect a wide range of animal hosts, including humans. They have evolved extensive genomic and metabolic reductions, making them highly dependent on their hosts for survival.Morphology and Genomic...
395
01:28Fungal Phylum Ascomycota
985
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...
985
01:31Classification of Systems-II
447
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
447
01:48Classification of Skeletal Muscle Fibers
59.3K
Skeletal muscles continuously produce ATP to provide the energy that enables muscle contractions. Skeletal muscle fibers can be categorized into three types based on differences in their contraction speed and how they produce ATP, as well as physical differences related to these factors. Most human muscles contain all three muscle fiber types, albeit in varying proportions.
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
Slow-Twitch Muscle Fibers
Slow oxidative, muscle fibers appear red due to large numbers of capillaries and high levels of...
59.3K