Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Malaria01:29

Malaria

Malaria pathogenesis in humans reflects a delicate interplay between parasite biology and host response. Clinical illness reflects a host’s immune response to the parasite’s asexual replication cycle, which is often asymptomatic in individuals with partial immunity. From the parasite's perspective, transmission between mosquito and human with minimal host pathology is evolutionarily advantageous. Among the six Plasmodium species infecting humans, P. falciparum and P. vivax dominate in global...

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Cross-attention guided explainable deep transformer model for multi-level classification of rare neurological disorders using MRI images.

Scientific reports·2026
Same author

The Factors Associated with Access to Healthcare Services for Cancer Patients in Saudi Arabia.

Healthcare (Basel, Switzerland)·2026
Same author

GDT-SwinKid: A hybrid model for precise renal lesion analysis.

PloS one·2026
Same author

A biomechanical-constrained temporal learning framework for lightweight skeleton-based exercise recognition.

Scientific reports·2026
Same author

Smart grid inverter control: integrating RNN, model predictive, and adaptive sliding mode controller for optimal harmonic mitigation.

Scientific reports·2026
Same author

Innovative approach of nonlinear controllers design for prosthetic knee performance.

Frontiers in neurorobotics·2026
Same journal

MT-MRI for detection of renal interstitial fibrosis in renovascular disease.

Scientific reports·2026
Same journal

Detection of underground objects from GPR data using a lightweight YOLO-based approach.

Scientific reports·2026
Same journal

Early systemic inflammatory-metabolic trajectory phenotypes are associated with survival outcomes in metastatic renal cell carcinoma treated with nivolumab.

Scientific reports·2026
Same journal

Water balance components in a dry-seeded rice-wheat system: Untangling the effects of tillage and mulching practices.

Scientific reports·2026
Same journal

Topological approaches to quantum tensor train compression via ZX-calculus and SVD.

Scientific reports·2026
Same journal

determinants of flood impacts and adaptive capacity among market vendors in Walukuba-Masese, Jinja city, Uganda.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Jun 29, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

1.4K

使用可解释的人工智能进行疟疾诊断的可靠深度学习.

Rahila Parveen1, Baozhi Qui2, Wei Song1

  • 1School of Computer and Artificial intelligence, Zhengzhou University, 100, Science Avenue, Zhengzhou, 450001, Henan, China.

Scientific reports
|December 19, 2025
PubMed
概括
此摘要是机器生成的。

深度学习模型在血液涂抹检测疟疾时具有很高的准确性,为资源有限的地区提供可扩展的解决方案. 可解释的人工智能技术提高了对自动诊断的信任和透明度.

关键词:
血液涂抹分析分析 血液涂抹分析深度学习是一种深度学习.可解释的人工智能这是Grad-CAM.开始-ResNetV2的开始在 LIME 时代,疟疾检测检测器可以检测疟疾.医学图像分类 医学图像分类Xception 接收 接收 接收

更多相关视频

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.2K

相关实验视频

Last Updated: Jun 29, 2026

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning
04:17

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

1.4K
Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images
08:20

Author Spotlight: AI-Driven Trypanosome Species Detection from Microscopic Images

Published on: October 27, 2023

2.4K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.2K

科学领域:

  • 医学诊断 医学诊断 医学诊断
  • 人工智能的人工智能
  • 计算生物学 计算生物学

背景情况:

  • 疟疾诊断在显微镜,快速诊断测试 (RDT) 和聚合酶链反应 (PCR) 等传统方法中面临挑战,原因是可扩展性,灵敏度和专业知识的局限性.
  • 自动诊断策略对于改善疟疾检测至关重要,特别是在资源有限的医疗机构.

研究的目的:

  • 通过血液涂抹图像来研究深度学习模型用于自动疟疾检测的有效性.
  • 评估和比较各种卷积神经网络 (CNN) 架构的性能.
  • 通过可解释的人工智能 (XAI) 技术增强模型解释性和临床信任.

主要方法:

  • 在疟疾血液涂抹图像上对四个CNN (MobileNetV2,VGG19,InceptionV3,ResNet18) 的实证评估.
  • 在大型数据集 (27,090张图像) 上微调先进的混合架构 (Xception,Inception-ResNetV2).
  • 在独立的数据集上对模型稳定性的验证,具有多种染色和成像条件.
  • 应用XAI技术 (Grad-CAM,LIME,SHAP) 来实现模型的可解释性.

主要成果:

  • 在最初的CNN中,ResNet18获得了最高的F1得分 (96.33%).
  • 在验证和测试组中,Xception和Inception-ResNetV2的分类准确率约为98%.
  • 在独立的数据集上保持了高准确度 (97-98%),证明了概括性.
  • 在模型决策中,XAI技术提供了空间,超像素和像素级透明度.

结论:

  • 深度学习模型,特别是像Inception-ResNetV2这样的混合架构,为疟疾检测提供了高度准确和可扩展的解决方案.
  • 可解释的人工智能技术显著提高了这些自动诊断系统的解释性和临床可靠性.
  • 拟议的AI框架解决了传统方法的局限性,为在资源有限的环境中改进疟疾诊断铺平了道路.