Search research articles

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 Journal Methods Collections JoVE Encyclopedia of Experiments 存档

教育

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual 教师资源中心教师网站

使用条款与条件

相关概念视频

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

Bimekizumab efficacy and safety reaffirmed in Chinese patients, with notable safety findings.

Journal of the European Academy of Dermatology and Venereology : JEADV·2026

Same author

Deletion of Mixed Lineage Kinase Domain Like Pseudokinase Aggravates Chronic Alcohol-Induced Liver Injury via Increasing Apoptosis.

Digestive diseases and sciences·2024

Same author

Human papillomavirus detection rates in Bowen disease: correlation with pelvic and digital region involvement and specific p53 immunostaining patterns.

Clinical and experimental dermatology·2024

Same author

Successful Long-Term Multimodality Management of Facial Lesions in Tuberous Sclerosis Complex in an Adult Patient.

Annals of dermatology·2023

Same author

Psoriasis severity classification based on adaptive multi-scale features for multi-severity disease.

Scientific reports·2023

Same author

Ultrasonographic analysis of facial skin thickness in relation to age, site, sex, and body mass index.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)·2023

Search research articles

相关实验视频

Updated: Jun 28, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

基于参数的转移学习用于使用高光谱成像对亚托皮炎的严重程度进行分类.

Eun Bin Kim¹, Yoo Sang Baek², Onesok Lee^1,3

¹Department of Software Convergence, Graduate School, Soonchunhyang University, Asan City, Chungcheongnam-do, South Korea.

Skin research and technology : official journal of International Society for Bioengineering and the Skin (ISBS) [and] International Society for Digital Imaging of Skin (ISDIS) [and] International Society for Skin Imaging (ISSI)

|April 17, 2024

概括

超光谱成像 (HSI) 有效地使用转移学习对亚托皮炎 (AD) 严重程度进行分类. 在牛皮数据上的训练模型取得了高准确性,证明了HSI.

关键词:

亚托邦性皮肤炎的发生.域名选择域名选择超光谱成像技术的使用.严重性分类的严重性分类.转移学习转移学习

更多相关视频

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

相关实验视频

Last Updated: Jun 28, 2025

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Resolving Water, Proteins, and Lipids from In Vivo Confocal Raman Spectra of Stratum Corneum through a Chemometric Approach

Published on: September 26, 2019

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Applying Hyperspectral Reflectance Imaging to Investigate the Palettes and the Techniques of Painters

Published on: June 18, 2021

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Quantitative Visualization and Detection of Skin Cancer Using Dynamic Thermal Imaging

Published on: May 5, 2011

科学领域:

皮肤病学皮肤病学
医疗成像医学成像
机器学习机器学习

背景情况:

亚托皮炎 (AD) 是一种具有结构变化的慢性炎症性皮肤疾病.
需要使用非侵入性方法来评估AD.
超光谱成像 (HSI) 使用光波长变化捕捉皮肤结构特征.

研究的目的:

使用高光谱成像 (HSI) 来分类亚托皮炎 (AD) 的严重程度.
通过基于参数的转移学习来探索不同的源和目标域数据集来优化分类结果.

主要方法:

使用了牛皮,皮肤癌,湿疹和AD数据集作为源域.
采用超光谱图像作为波长特定AD分类的目标域.
评估了96种来源,模型和严重性分类性能目标的组合.

主要成果:

使用ResNet50训练在增强型牛皮数据集 (来源) 和NIR数据集 (目标) 上实现了83%的分类性能.
使用ResNet50训练在未增强的牛皮数据集 (来源) 和R数据集 (目标) 上获得了81%的准确性.
ResNet50显示出作为一个通用模型的潜力,而牛皮数据集被证明是有效的培训.

结论:

使用高光谱图像证明了使用AD严重程度分类的可行性.
展示了高光谱成像和转移学习在AD研究领域探索的可扩展性.