Automated classification of dry eye type analyzing interfering fringe color images of tear film using machine learning technologies

Yabusaki Katsumi; Arita Reiko; Yamauchi Takanori

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Automated classification of dry eye type analyzing interfering fringe color images of tear film using machine learning technologies

机译：干眼液自动分类分析机器学习技术干扰撕裂膜的干扰彩色图像

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来源
《Investigative ophthalmology & visual science》 |2018年第9期|共1页
作者
Yabusaki Katsumi; Arita Reiko; Yamauchi Takanori;
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作者单位

Kowa Co Ltd Tokyo Japan;

Itoh Clin Omiya Saitama Japan;

Kowa Co Ltd Tokyo Japan;

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原文格式 PDF
正文语种 eng
中图分类眼科学;
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专利

1. Automated classification of dry eye type analyzing interfering fringe color images of tear film using machine learning technologies [J] . Yabusaki Katsumi, Arita Reiko, Yamauchi Takanori Investigative ophthalmology & visual science . 2018,第9期

机译：干眼液自动分类分析机器学习技术干扰撕裂膜的干扰彩色图像
2. Automated Tear Film Surface Quality Breakup Time as a Novel Clinical Marker for Tear Hyperosmolarity in Dry Eye Disease [J] . Laura Elizabeth Downie Investigative ophthalmology & visual science . 2015,第12期

机译：自动化的泪膜表面质量破坏时间作为干眼病中泪液高渗的新临床标志
3. Diagnosis of dry eye subtype by artificial intelligence software based on the interferometric fringe pattern of the tear film obtained with the Kowa DR-1 alpha instrument [J] . Arita Reiko, Yabusaki Katsumi, Yamauchi Takanori, Investigative ophthalmology & visual science . 2018,第9期

机译：基于KOWA DR-1α仪器的干涉膜的干涉膜的干涉膜的人工智能软件诊断干眼亚型
4. Interferential Tear Film Lipid Layer Classification: An Automatic Dry Eye Test [C] . Bolon-Canedo Veronica, Peteiro-Barral Diego, Remeseiro Beatriz, IEEE International Conference on Tools with Artificial Intelligence . 2012

机译：干扰性泪膜脂质层分类：自动干眼测试
5. The Development of a Validated Clinically Meaningful Endpoint for the Evaluation of Tear Film Stability as a Measure of Ocular Surface Protection for Use in the Diagnosis and Evaluation of Dry Eye Disease. [D] . Abelson, Richard. 2012

机译：开发用于泪膜稳定性评估的临床上有意义的终点，作为眼表保护措施，用于干眼病的诊断和评估。
6. Different Machine Learning and Deep Learning Methods for the Classification of Colorectal Cancer Lymph Node Metastasis Images [O] . Jin Li, Peng Wang, Yang Zhou, 2020

机译：不同机器学习和深层学习方法用于分类结直肠癌淋巴结转移图像
7. Automated classification of dry eye type analyzing interference fringe color images of tear film using machine learning techniques [O] . Katsumi Yabusaki, Reiko Arita, Takanori Yamauchi 2019

机译：用机器学习技术分析干眼液的自动分类干涉撕裂膜的干扰条纹彩色图像

Automated classification of dry eye type analyzing interfering fringe color images of tear film using machine learning technologies

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