首页|期刊导航|国际眼科杂志|Advancing automated pupillometry:a practical deep learning model utilizing infrared pupil images

Advancing automated pupillometry:a practical deep learning model utilizing infrared pupil imagesOACSTPCD

中文摘要

AIM:To establish pupil diameter measurement algorithms based on infrared images that can be used in real-world clinical settings.METHODS:A total of 188 patients from outpatient clinic at He Eye Specialist Shenyang Hospital fr…查看全部>>

Dai Guangzheng;Yu Sile;Liu Ziming;Yan Hairu;He Xingru

School of Public Health,He University,Shenyang 110000,Liaoning Province,China Clinical Research Center,He Eye Specialist Hospital,Shenyang 110000,Liaoning Province,ChinaSchool of Public Health,He University,Shenyang 110000,Liaoning Province,ChinaSchool of Artificial Intelligence and Big Data,He University,Shenyang 110000,Liaoning Province,China The Graduate School,Liaoning University of Traditional Chinese Medicine,Shenyang 110000,Liaoning Province,ChinaSchool of Artificial Intelligence and Big Data,He University,Shenyang 110000,Liaoning Province,ChinaSchool of Public Health,He University,Shenyang 110000,Liaoning Province,China

临床医学

pupilinfrared imagealgorithmdeep learning model

《国际眼科杂志》 2024 (10)

P.1522-1528,7

辽宁省教育厅面上项目(No.LJKZ1387)。

10.3980/j.issn.1672-5123.2024.10.02

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