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

Reducing Line Loss01:18

Reducing Line Loss

196
In a three-phase circuit, line loss is an indicator of energy dissipated as heat due to the resistance of transmission lines. To address this, incorporating transformers into the system—a step-up transformer at the source and a step-down transformer at the load—is a strategic solution. Two three-phase transformers are introduced to improve this.
With a step-up transformer at the source, the voltage is increased, thereby reducing the current in the transmission lines since power loss...
196
Improving Translational Accuracy02:07

Improving Translational Accuracy

2.7K
2.7K
Computed Tomography01:10

Computed Tomography

6.3K
Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
6.3K
Downsampling01:20

Downsampling

260
When considering a sampled sequence with zero values between sampling instants, one can replace it by taking every N-th value of the sequence. At these integer multiples of N, the original and sampled sequences coincide. This process, known as decimation, involves extracting every N-th sample from a sequence, thereby creating a more efficient sequence.
The Fourier transform of the decimated sequence reveals a combination of scaled and shifted versions of the original spectrum. This...
260

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

Aberrant alternative splicing of purinergic receptor P2RX4 prevents sensitivity towards combinatorial treatment in colorectal and pancreatic cancer.

The Journal of pathology·2026
Same author

Placental Histiocyte Phenotypes in Chronic Histiocytic Intervillositis: A Comprehensive Immunophenotypic and Morphologic Atlas.

International journal of molecular sciences·2026
Same author

Rare Presentation of an NF2 -Mutated Desmoplastic Melanoma With Pure Spindle Cell Morphology in a 69-Year-Old Patient.

The American Journal of dermatopathology·2026
Same author

Molecular Pathology of Advanced NSCLC: Biomarkers and Therapeutic Decisions.

Cancers·2026
Same author

Malignant Melanoma: Landscape of Molecular Markers.

Biomedicines·2026
Same author

Single-cell integration and multi-modal profiling reveals phenotypes and spatial organization of neutrophils in colorectal cancer.

Cancer cell·2026
Same journal

Turbulent flow in a vortex separator with a directed pipe inlet.

Scientific reports·2026
Same journal

Systematic characteristic evaluation of clay-based cementitious material derived from calcium carbide residue and waste tile powder.

Scientific reports·2026
Same journal

Retraction Note: Improvement of a rapid diagnostic application of monoclonal antibodies against avian influenza H7 subtype virus using Europium nanoparticles.

Scientific reports·2026
Same journal

Applying large language models to spam detection in the Kazakh low-resource language setting.

Scientific reports·2026
Same journal

An open-source 3D printing system enabling in-situ freeze-thaw processing of hydrogels.

Scientific reports·2026
Same journal

An enhanced EfficientNet framework for automated waste classification using cosine annealing and label smoothing.

Scientific reports·2026
查看所有相关文章

相关实验视频

Updated: Sep 16, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.0K

丢失的DICOM转换可能会影响AI性能.

Robin Sebastian Mayer1, Fabian Fliedner1, Ingvild Frøberg Mathisen1

  • 1Dr. Senckenberg Institutes of Pathology and Human Genetics, Goethe-University Frankfurt, University Hospital Frankfurt, Frankfurt am Main, Germany.

Scientific reports
|July 8, 2025
PubMed
概括
此摘要是机器生成的。

将病理学幻灯片数字化为DICOM格式的长期存储至关重要. 虽然转换的图像看起来很相似,但它们并不完全相同,这会影响人工智能模型的性能,并需要重新评估用于诊断.

关键词:
对抗性的例子.计算病理学计算病理学迪科姆公司 (DICOM)数字病理学数字病理学图像压缩 图像压缩

更多相关视频

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.0K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K

相关实验视频

Last Updated: Sep 16, 2025

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization
05:49

Author Spotlight: Advancing CBCT and Digital Dental Image Integration with AI-Assisted Digitization

Published on: February 23, 2024

1.0K
Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences
08:19

Protocol for the Evaluation of MRI Artifacts Caused by Metal Implants to Assess the Suitability of Implants and the Vulnerability of Pulse Sequences

Published on: May 17, 2018

10.0K
Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions
06:18

Author Spotlight: Segmentation and VR for Advanced Neurovascular Interventions

Published on: April 5, 2024

1.2K

科学领域:

  • 数字病理学数字病理学
  • 医学成像标准 医学成像标准
  • 医疗保健中的人工智能

背景情况:

  • 病理学幻灯片越来越多地被数字化,以提高可访问性.
  • 将数字化幻灯片存储在DICOM格式中可以确保长期的可访问性.
  • 当前的数字化工作流通常涉及特定供应商格式和转换到DICOM,这引发了对数据完整性的担忧.

研究的目的:

  • 为了研究将MRXS病理幻灯片图像转换为DICOM格式的后果.
  • 评估DICOM转换对图像数据和随后的AI模型性能的影响.
  • 评估DICOM适合用于诊断用途和未来的互操作性.

主要方法:

  • 膀,卵巢和前列腺组织的MRXS文件使用供应商转换器和具有JPEG再压缩的开源工具将其转换为DICOM.
  • 人类视觉检查和结构相似度指数 (SSIM) 用于比较原始和转换的图像.
  • 人工智能 (AI) 模型,包括卷积神经网络 (CNN) 和基础模型,用于区分图像格式和评估性能变化.

主要成果:

  • 在原始和转换的DICOM图像之间没有观察到人类可感知的差异.
  • 转换的图像与原始图像不相同,平均SSIM分数在0.85到0.96.9之间.
  • 人工智能模型可以以高达99.5%的准确度区分原始和转换的图像.
  • 在64种情景中,在5种情景中发现了显著的人工智能性能差异,特别是在有限的培训数据的情况下.
  • 供应商特定的转换器通常实现更高的SSIM值.

结论:

  • 病理幻灯片的DICOM转换并不是无损的,并且转换的图像与原始图像不相同.
  • 所有的诊断过程和人工智能算法必须使用DICOM转换的文件进行重新评估.
  • 尽管有转换差异,但DICOM格式为未来的应用提供了出色的互操作性.
  • 使用转换文件进行初始人工智能训练并不总是显示性能下降,这表明未来使用的潜力.