MethodsX最新文献_第4页

Spray inoculation and image analysis-based quantification of powdery mildew disease severity on pea leaves 基于喷雾接种和图像分析的豌豆叶片白粉病严重程度量化方法

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-25 DOI: 10.1016/j.mex.2024.102980

Poonam Ray, Divya Chandran

Pea (Pisum sativum) is an important agricultural legume crop, but powdery mildew disease caused by the biotrophic fungus Erysiphe pisi regularly limits its annual yield. Assays to evaluate the efficacy of potential antifungal compounds or resistance genes for disease control require a simple fungal inoculation method that provides control over the initial inoculum concentration and enables uniform inoculum distribution within a leaf and across replicates as well as a method for the quantitative assessment of disease severity. Here, we present an easy spray inoculation method for the uniform distribution of a defined concentration of E. pisi conidia on the leaves of pea plants and a semi-automated image analysis-based quantification of disease symptoms. The uniformity in conidial distribution was validated using a novel grading system termed the uniformity index. In addition, RT-qPCR was used to validate the reproducibility of the spray inoculation method and image analysis-based disease quantification. These procedures permit the accurate quantification of powdery mildew disease severity at macroscopic and molecular levels.

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Uniform and reproducible inoculum distribution on leaves using a simple and inexpensive spray device
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Rapid and reproducible quantification of powdery mildew disease symptoms using open-source software without the requirement of computational expertise

豌豆（Pisum sativum）是一种重要的农用豆科作物，但由生物营养真菌 Erysiphe pisi 引起的白粉病经常限制其年产量。要评估潜在的抗真菌化合物或抗性基因对病害控制的效果，需要一种简单的真菌接种方法，这种方法能控制初始接种体浓度，使接种体在叶片内和各重复中分布均匀，还需要一种定量评估病害严重程度的方法。在此，我们介绍了一种简便的喷雾接种方法，可在豌豆植株叶片上均匀分布一定浓度的 E. pisi 分生孢子，并可通过半自动图像分析对病害症状进行量化。分生孢子分布的均匀性是通过一种称为均匀性指数的新型分级系统验证的。此外，还利用 RT-qPCR 验证了喷雾接种方法和基于图像分析的病害定量的可重复性。这些程序允许在宏观和分子水平上对白粉病的严重程度进行精确定量。

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引用次数: 0

Combined fluorometric analysis of biliverdin and bilirubin by the recombinant protein HUG 利用重组蛋白 HUG 对胆红素和胆红素进行联合荧光分析

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-25 DOI: 10.1016/j.mex.2024.102979

Federica Tramer , Paola Sist , Rocio Cardenas-Perez , Ranieri Urbani , Giulia Bortolussi , Sabina Passamonti

Biliverdin is a secondary metabolite of heme catabolism. It is formed by the reaction catalyzed by heme oxygenase, which converts the heme group contained in proteins such as hemoglobin, myoglobin, cytochromes, and catalase into biliverdin, iron (II) and CO in equimolar amounts, consuming NADPH. Biliverdin is then reduced to bilirubin by biliverdin reductase. Biliverdin and bilirubin form a redox couple and are important for the redox homeostasis of cells. Heme oxygenase-1 is an inducible enzyme that is induced by hypoxic conditions, increased availability of heme or proinflammatory mechanisms such as LPS, UV radiation, etc. In addition, both heme oxygenase-1 and biliverdin reductase play roles other than catalysis by modulating specific metabolic pathways at the transcriptional level. There is a need for affordable assays to analyze these bile pigments in biological and clinical samples. Here we present a method for the combined determination of biliverdin and bilirubin that utilizes the specific binding of bilirubin to the fluorescent recombinant fusion protein HUG and the enzymatic conversion of biliverdin to bilirubin.

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This method enables the combined measurement of bilirubin and biliverdin in the nM range.
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The method does not require solvent extraction or protein precipitation of the samples.

胆绿素是血红素分解代谢的次级代谢产物。它由血红素加氧酶催化反应生成，该酶将血红蛋白、肌红蛋白、细胞色素和过氧化氢酶等蛋白质中所含的血红素基转化为等摩尔量的胆绿素、铁（II）和 CO，同时消耗 NADPH。然后，胆红素被胆红素还原酶还原成胆红素。胆红素和胆红素形成氧化还原偶联物，对细胞的氧化还原平衡非常重要。血红素加氧酶-1 是一种诱导型酶，缺氧条件、血红素供应量增加或 LPS、紫外线辐射等促炎机制都会诱导这种酶。此外，血红素加氧酶-1 和胆绿素还原酶除了催化作用外，还在转录水平上调节特定的代谢途径。我们需要经济实惠的检测方法来分析生物和临床样本中的这些胆色素。我们在此介绍一种联合测定胆红素和胆红素的方法，该方法利用胆红素与荧光重组融合蛋白 HUG 的特异性结合以及胆红素向胆红素的酶转化。

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引用次数: 0

Psychological disorder detection: A multimodal approach using a transformer-based hybrid model 心理障碍检测：使用基于变压器的混合模型的多模式方法

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-24 DOI: 10.1016/j.mex.2024.102976

Debadrita Ghosh , Hema Karande , Shilpa Gite , Biswajeet Pradhan

Detecting psychological disorders, particularly depression, is a complex and critical task within the realm of mental health assessment. This research explores a novel approach to improve the identification of psychological distresses, such as depression, by addressing the subjectivity, complexity, and biasness inherent in traditional diagnostic techniques. Using multimodal data, such as voice characteristics and linguistic content from participant interviews, we developed a Transformer-Based Hybrid Model that combines advanced natural language processing and deep learning approaches. This model provides a complete assessment of an individual's psychological well-being by merging aural cues and textual data. This study investigates the theoretical underpinnings, technical complexities, and practical applications of this model in the context of psychological disorder detection. Additionally, the model's design and implementation details are thoroughly documented to ensure replicability by other researchers.

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A unique way of strengthening emotional ailments (focusing on depression).
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Transformer-Based Hybrid Model is proposed using multimodal data from interviews of participants.
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The model integrates voice characteristics (aural cues) and linguistic content (textual data).
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Comparative analysis of this research with existing approaches.

检测心理障碍，尤其是抑郁症，是心理健康评估领域一项复杂而关键的任务。本研究探索了一种新方法，通过解决传统诊断技术中固有的主观性、复杂性和偏差，改进对抑郁症等心理困扰的识别。我们利用多模态数据，如来自参与者访谈的语音特征和语言内容，开发了一种基于变压器的混合模型，该模型结合了先进的自然语言处理和深度学习方法。该模型通过合并听觉线索和文本数据，提供了对个人心理健康的完整评估。本研究探讨了该模型的理论基础、技术复杂性以及在心理障碍检测中的实际应用。此外，还详细记录了该模型的设计和实施细节，以确保其他研究人员可以复制。-加强情绪疾病（重点是抑郁症）的独特方法-利用参与者访谈中的多模态数据提出基于变压器的混合模型-该模型整合了声音特征（听觉线索）和语言内容（文本数据）-该研究与现有方法的比较分析。

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引用次数: 0

A method to evaluate enhanced rock weathering using intact soil monoliths under field conditions 在野外条件下利用完整土壤单体评估岩石风化强化的方法

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-23 DOI: 10.1016/j.mex.2024.102971

Caio F. Zani , Arlete S. Barneze , Gerlinde B. De Deyn , J. Frans Bakker , Kevin Stott , David A.C. Manning

Enhanced rock weathering (ERW) has attracted considerable attention as a carbon dioxide removal (CDR) strategy. However, a reliable method for accurately measuring, monitoring, and verifying carbon dioxide (CO₂) removal, particularly under field conditions, remains elusive. Here we describe a method for installing soil monoliths in an in situ buried apparatus that allows collection of water draining through a soil, undisturbed by external environmental factors that may affect similar apparatus located above ground. The method provides a robust, cost-effective means of collecting, developing, and establishing soil monoliths, allowing through drainage soil water sample collection and analysis, and so facilitating estimation of ERW CO₂ removal. A 200 mm diameter polyvinyl chloride (PVC) pipe is inserted into the soil to extract intact monoliths from a site of interest, withdrawn and then fitted with a basal double socket coupling and end cap for leachate collection. It is buried to reproduce soil environmental conditions, and water is collected via a sampling tube to surface. Validity was confirmed through an experimental trial with 36 monoliths over 6 months. This method enables accurate chemical analysis of solute draining through the soil monolith, which can be used to validate models of ERW efficacy.

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PVC pipes are inserted into the target soil and subsequently extracted to retrieve intact soil monoliths
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PVC sockets, equipped with a mesh and a geotextile membrane in the middle to retain the collected intact soil monolith and prevent soil particle transport, are then attached to the PVC pipe
•
PVC caps, featuring a small drainage tube attached to its outer side, are used to collect the leachate at the bottom part of the system.

强化岩石风化（ERW）作为一种二氧化碳去除（CDR）策略，已经引起了广泛关注。然而，准确测量、监测和验证二氧化碳（CO2）去除情况的可靠方法，尤其是在野外条件下的去除情况的可靠方法，仍然没有找到。在这里，我们介绍了一种在原地埋设装置中安装土壤单体的方法，这种方法可以收集通过土壤排出的水，不受外部环境因素的干扰，而这些因素可能会影响地面上的类似装置。该方法提供了一种稳健、经济高效的收集、开发和建立土壤单体的方法，允许通过排水系统收集和分析土壤水样本，从而有助于估算战争遗留爆炸物的二氧化碳去除率。将直径为 200 毫米的聚氯乙烯（PVC）管插入土壤中，从感兴趣的地点提取完整的单体，然后抽出，再安装一个基底双承插接头和端盖，用于收集沥滤液。将其埋入地下以再现土壤环境条件，并通过采样管将水收集到地表。通过对 36 块单体进行为期 6 个月的实验测试，证实了该方法的有效性。这种方法能够对通过土壤单体排出的溶质进行精确的化学分析，可用于验证战争遗留爆炸物的功效模型。将聚氯乙烯管插入目标土壤，然后抽出，以回收完整的土壤单体--然后将聚氯乙烯插座连接到聚氯乙烯管上，插座中间装有网眼和土工织物膜，以保留收集到的完整土壤单体并防止土壤颗粒迁移--聚氯乙烯管帽用于收集系统底部的沥滤液，管帽外侧装有小型排水管。

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引用次数: 0

Development of national post-fire restoration system to assess net GHG impacts and salvage biomass availability 开发国家火灾后恢复系统，以评估温室气体净影响和挽救生物量可用性

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-21 DOI: 10.1016/j.mex.2024.102932

C. Smyth, M. Fellows, S. Morken, M. Magnan

In light of the recent unprecedented wildfires in Canada and the potential for increasing burned areas in the future, there is a need to explore post-fire salvage harvest and restoration and the implications for greenhouse gas (GHG) emissions. Salvage logging and replanting initiatives offer a potential solution by regrowing forests more quickly while meeting societal demands for wood and bioenergy.

This study presents a comprehensive modeling framework to estimate post-fire salvage biomass and net GHG emissions relative to a ‘do-nothing’ baseline for all of Canada's harvest-eligible forests. Forest ecosystem carbon emissions and removals were modeled at 1-ha spatial resolution for Canadian forests using the Generic Carbon Budget Model (GCBM) from 1990 to 2070 using several forest inventory data sources with future harvest and wildfires.

Building upon previous research, our work integrated the Canadian Forest Fire Danger Rating System fire intensity to estimate fire severity of future wildfires. For 2024 to 2070, we assessed the changes in ecosystem carbon, emissions from harvested wood products, and substitution benefits from avoided emissions-intensive materials, relative to a forward-looking baseline. Our prototype system provides a comprehensive framework, configuration files, links to datasets to quantify the net GHG of post-fire restoration, and sample results for validation.

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Developed spatially explicit forest carbon modeling system for all of Canada's forests.
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Assessed the net GHG reduction from post-fire restoration.
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Used system approach to consider forests, wood products and substitution benefits.

鉴于加拿大最近发生了前所未有的野火，而且未来烧毁面积可能会增加，因此有必要探讨火灾后的抢救性采伐和恢复以及对温室气体（GHG）排放的影响。本研究提出了一个全面的建模框架，用于估算加拿大所有符合采伐条件的森林的火灾后挽救性生物量和相对于 "无 "基线的温室气体净排放量。利用通用碳预算模型 (GCBM)，以 1 公顷的空间分辨率对加拿大 1990 年至 2070 年的森林生态系统碳排放和碳清除进行了建模，其中使用了若干森林资源清查数据源以及未来的采伐和野火。与前瞻性基线相比，我们评估了 2024 年至 2070 年生态系统碳排放量、伐木产品排放量和避免排放密集型材料的替代效益的变化。我们的原型系统提供了一个综合框架、配置文件、数据集链接，用于量化火灾后恢复的温室气体净排放量，并提供样本结果供验证。

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引用次数: 0

Measurement of ethanol concentration for monitoring the solvent exchange during the alcogel preparation 测量乙醇浓度以监测炼金凝胶制备过程中的溶剂交换

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-21 DOI: 10.1016/j.mex.2024.102960

Cristiana S.A. Bento, Hermínio C. de Sousa, Mara E.M. Braga

A crucial and time-consuming stage in aerogel production is the solvent exchange process for alcogel formation. This process involves multiple steps, exposing the hydrogel to ethanol solutions with increasing concentration until the equilibrium in each step. Currently, the determination of contact time between phases (hydrogel and liquid solution) is either arbitrary or based on prior studies. However, considering the unique physicochemical characteristics of each system, as well as the solid-liquid interactions and the liquid diffusion within the matrix, the required time may vary. Monitoring this step can lead to a reduction in the time needed for alcogel production and the optimization of the entire process. The refractive index serves as a tool to assess ethanol concentration in the liquid solution over time, providing immediate information about the status of the solvent exchange. Alongside, differential scanning calorimetry can be employed to evaluate ethanol content in the alcogel (solid phase), confirming the attainment of equilibrium between phases.

•
This research introduces a technique for monitoring solvent exchange.
•
Refractive index measurement of the liquid solvent offers immediate concentration information into the status of the solvent exchange.
•
Differential scanning calorimetry is applicable for measuring the ethanol content within the alcogel and validating refractive index findings.

气凝胶生产的一个关键且耗时的阶段是形成炼金凝胶的溶剂交换过程。这一过程包括多个步骤，将水凝胶暴露于浓度不断增加的乙醇溶液中，直到每个步骤达到平衡。目前，确定相（水凝胶和液体溶液）之间的接触时间要么是任意的，要么是基于先前的研究。然而，考虑到每个系统独特的物理化学特性，以及固液相互作用和液体在基质中的扩散，所需的时间可能会有所不同。对这一步骤进行监控可以缩短生产炼金凝胶所需的时间，并优化整个工艺流程。折射率可作为评估液体溶液中乙醇浓度随时间变化的工具，提供有关溶剂交换状态的即时信息。同时，差示扫描量热法可用于评估炼金凝胶（固相）中的乙醇含量，确认各相之间是否达到平衡。

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引用次数: 0

Facilitating microplastic ingestion in aquatic models: A verified protocol for daphnia magna as a trojan horse vector 促进水生模型中的微塑料摄取：将大型蚤作为特洛伊木马载体的验证方案

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-20 DOI: 10.1016/j.mex.2024.102973

Albert Menéndez-Pedriza , Marta Gual , Lidia Molina-Millán , Ron M.A. Heeren , Carlos Barata , Laia Navarro-Martín

Microplastic pollution poses a significant environmental threat due to its persistence, widespread distribution, and inherent toxic potential. Despite the increasing number of publications in this field, a standardized protocol for the laboratory intake of microplastics by Daphnia magna has yet to be established. In this study, we introduce a verified protocol designed to facilitate the ingestion of microplastic particles (MPs) by D. magna, ranging in size from 5–55 µm. This protocol can be further applied to evaluate the toxicity of MPs on D. magna, a crucial organism model in ecotoxicology. Furthermore, this protocol can be used to assess toxicity of MPs in other aquatic species, such as fish, by using daphnids as a vehicle for ensuring the ingestion of these particles. Consequently, this protocol can be applied to study also one of the most pressing concerns regarding exposure to MPs, the transfer of MPs through different trophic levels, which has a great potential for ecotoxicological studies.

•
The influence of MPs concentration, duration and exposure dynamics and D. magna age/size in MPs intake were tested.
•
We have determined the optimal conditions for promoting microplastic ingestion by D. magna.

微塑料污染因其持久性、广泛分布性和固有毒性潜力而对环境构成严重威胁。尽管该领域的出版物越来越多，但大型蚤在实验室摄入微塑料的标准化方案仍有待建立。在本研究中，我们介绍了一种经过验证的方案，旨在促进大型蚤摄取微塑料颗粒（MPs），其大小为 5-55 µm。该方案可进一步用于评估微塑料颗粒对大型蚤的毒性，大型蚤是生态毒理学中的重要生物模型。此外，该方案还可用于评估 MPs 对其他水生物种（如鱼类）的毒性，方法是将水蚤作为确保摄入这些颗粒的载体。我们确定了促进大型蚤摄取微塑料的最佳条件。

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引用次数: 0

An artificial bee colony optimization algorithms for solving fuzzy capacitated logistic distribution center problem 解决模糊容纳物流配送中心问题的人工蜂群优化算法

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-19 DOI: 10.1016/j.mex.2024.102964

Yasser M. Ayid , Mohammad Zakaraia , Mohamed Meselhy Eltoukhy

This paper presents a methodological approach to solving the fuzzy capacitated logistic distribution center problem, with a focus on the optimal selection of distribution centers to meet the demands of multiple plants. The distribution centers are characterized by fixed costs and capacities, while plant demands are modeled using fuzzy triangular membership functions. The problem is mathematically formulated by converting fuzzy demands into crisp values, providing a structured framework for addressing uncertainty in logistic planning. To support future research and facilitate comparative analysis, 20 benchmark problems were generated, filling a gap in the existing literature. Three distinct artificial bee colony algorithm variants were hybridized with a heuristic: one using the best solution per iteration, another incorporating chaotic mapping and adaptive procedures, and the third employing convergence and diversity archives. An experimental design based on Taguchi's orthogonal arrays was employed for optimizing the algorithm parameters, ensuring systematic exploration of the solution space. The developed methods offer a comprehensive toolkit for addressing complex, uncertain demands in logistic distribution, with code provided for reproducibility.

Key contributions include:

•
Development of a fuzzy model for the selection of distribution centers with fixed costs and capacities under uncertain plant demands.
•
Generation of 20 benchmark problems to advance research in the fuzzy capacitated logistic distribution center problem domain.
•
Integration of a heuristic approach with three distinct ABC algorithm variants, each contributing unique methodological insights.

本文提出了一种解决模糊容量物流配送中心问题的方法论，重点是优化配送中心的选择，以满足多个工厂的需求。配送中心以固定成本和容量为特征，而工厂需求则使用模糊三角阶乘函数建模。通过将模糊需求转换为清晰值，对问题进行了数学表述，为解决物流规划中的不确定性问题提供了一个结构化框架。为了支持未来的研究并促进比较分析，我们生成了 20 个基准问题，填补了现有文献的空白。三种不同的人工蜂群算法变体与启发式算法进行了混合：一种使用每次迭代的最佳解决方案，另一种结合了混沌映射和自适应程序，第三种使用收敛和多样性档案。在优化算法参数时，采用了基于田口正交阵列的实验设计，确保系统地探索解决方案空间。所开发的方法为解决物流配送中复杂、不确定的需求问题提供了一个全面的工具包，并提供了代码以实现可重复性。主要贡献包括：-开发了一个模糊模型，用于在不确定的工厂需求下选择具有固定成本和能力的配送中心；-生成了 20 个基准问题，以推进模糊能力物流配送中心问题领域的研究；-将启发式方法与三种不同的 ABC 算法变体相结合，每种变体都具有独特的方法论见解。

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引用次数: 0

Developing a new tool to capture the nature dose to reduce loneliness and improve quality of life 开发一种新工具，捕捉自然剂量，减少孤独感，提高生活质量

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-19 DOI: 10.1016/j.mex.2024.102969

Ashby Lavelle Sachs , Montse Maso-Aguado , Albert Bach , Nerkez Opacin , Nicholas Hill , Lucie Cattaneo , Laura Coll-Planas , Katherine Johnson , Laura Hidalgo , Carolyn Daher , Jill Litt , Sarah Bekessy

Recognition of the health benefits of nature contact has increased. Simultaneously, growing numbers of people worldwide experience loneliness. There is a movement towards prescribing nature-based activities to improve/promote social connections, health, and quality of life. Yet, what constitutes a therapeutic nature dose is not well understood, due in part, to the lack of instruments that capture the characteristics of nature-based activities and measure ‘nature dose.’ We created a nature dose measurement tool to fill this gap by capturing various aspects of contact with nature and perceptions regarding park access, quality, naturalness, psychological distance to nature, and biodiversity. This tool will facilitate greater understanding of how natural areas, nature-based activities, and nature exposure reduce loneliness and promote health-related quality of life. Measuring nature dose with standardized tools and documenting benefits will generate

the evidence base needed to design, implement and evaluate nature-based social interventions for improving health and quality of life.

•
This tool captures the nature dose to reduce loneliness and promote quality of life.
•
Constructs range from park quality and access, to mood, to biodiversity perceptions.
•
The standardized nature dose tool will help design nature-based social interventions.

人们越来越认识到与大自然接触有益健康。与此同时，全世界越来越多的人感到孤独。为了改善/促进社会联系、健康和生活质量，人们开始尝试开展以自然为基础的活动。然而，人们对什么是具有治疗作用的自然剂量还不甚了解，部分原因是缺乏能够捕捉自然活动特征和测量 "自然剂量 "的工具。我们创建了一个自然剂量测量工具，通过捕捉与自然接触的各个方面以及对公园的可及性、质量、自然性、与自然的心理距离和生物多样性的看法来填补这一空白。该工具将有助于更好地了解自然区域、自然活动和自然接触如何减少孤独感并提高与健康相关的生活质量。使用标准化工具测量自然剂量并记录其益处将为设计、实施和评估基于自然的社会干预措施提供所需的证据基础，以改善人们的健康状况和生活质量。

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引用次数: 0

Explainable rotation-invariant self-supervised representation learning 可解释的旋转不变自监督表征学习

IF 1.6 Q2 MULTIDISCIPLINARY SCIENCES

MethodsX

Pub Date : 2024-09-14 DOI: 10.1016/j.mex.2024.102959

Devansh Singh , Aboli Marathe , Sidharth Roy , Rahee Walambe , Ketan Kotecha

This paper describes a method that can perform robust detection and classification in out-of-distribution rotated images in the medical domain. In real-world medical imaging tools, noise due to the rotation of the body part is frequently observed. This noise reduces the accuracy of AI-based classification and prediction models. Hence, it is important to develop models which are rotation invariant. To that end, the proposed method - RISC (rotation invariant self-supervised vision framework) addresses this issue of rotational corruption. We present state-of-the-art rotation-invariant classification results and provide explainability for the performance in the domain. The evaluation of the proposed method is carried out on real-world adversarial examples in Medical Imagery-OrganAMNIST, RetinaMNIST and PneumoniaMNIST. It is observed that RISC outperforms the rotation-affected benchmark methods by obtaining 22%, 17% and 2% accuracy boost on OrganAMNIST, PneumoniaMNIST and RetinaMNIST rotated baselines respectively. Further, explainability results are demonstrated.

This methods paper describes:

•
a representation learning approach that can perform robust detection and classification in out-of-distribution rotated images in the medical domain.
•
It presents a method that incorporates self-supervised rotation invariance for correcting rotational corruptions.
•
GradCAM-based explainability for the rotational SSL pretext task and the downstream classification outcomes for the three benchmark datasets are presented

本文介绍了一种能在医疗领域对分布不均的旋转图像进行稳健检测和分类的方法。在现实世界的医疗成像工具中，经常会观察到由于身体部位旋转而产生的噪声。这种噪声会降低基于人工智能的分类和预测模型的准确性。因此，开发具有旋转不变性的模型非常重要。为此，我们提出了一种方法--RISC（旋转不变自监督视觉框架）来解决旋转损坏问题。我们展示了最先进的旋转不变分类结果，并提供了该领域性能的可解释性。我们在医学影像-器官-AMNIST、视网膜-MNIST 和肺炎-MNIST 中的真实世界对抗实例上对所提出的方法进行了评估。结果表明，RISC优于受旋转影响的基准方法，在OrganAMNIST、PneumoniaMNIST和RetinaMNIST旋转基线上分别提高了22%、17%和2%的准确率。本方法论文描述了：-一种表征学习方法，可在医疗领域的分布外旋转图像中执行稳健的检测和分类；-提出了一种方法，该方法结合了自监督旋转不变性来纠正旋转损坏；-介绍了基于GradCAM的旋转SSL借口任务的可解释性以及三个基准数据集的下游分类结果。

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引用次数: 0