Detection of secondary glaucoma in human eyes using sophisticated bio-medical image processing algorithms

机译：使用复杂的生物医学图像处理算法检测人眼中继发性青光眼

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摘要

A brief review of the concepts relating to the glaucoma disease, its detection, etc... & its types are being presented in this paper with the problem definition.

机译：本文简要介绍了与青光眼疾病有关的概念，其检测等...及其类型，并给出了问题的定义。

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来源
《2017 IEEE International Conference on Power, Control, Signals and Instrumentation Engineering》|2017年|2375-2382|共8页
会议地点 Chennai(IN)
作者
G. Pavithra; T. C. Manjunath; Krishnananda; Dharmanna Lamani;
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作者单位

Belagavi, Karnataka;

ECE, DSCE, Bangalore, Karnataka;

Dept. of E CE, DSCE, Bangalore, Karnataka;

Dept. of ISE, SDMIT, Ujire, Dharmasthala, Karnataka;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Fractals; Diabetes; Retina; Diseases; Biomedical optical imaging; Blood vessels;

机译：分形;糖尿病;视网膜;疾病;生物医学光学成像;血管;;
入库时间 2022-08-26 14:32:14

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1. An automated and robust image processing algorithm for glaucoma diagnosis from fundus images using novel blood vessel tracking and bend point detection [J] . Soorya M., Issac Ashish, Dutta Malay Kishore International journal of medical informatics . 2018,第FEBa期

机译：使用新颖的血管跟踪和弯曲点检测从眼底图像中诊断青光眼的自动且鲁棒的图像处理算法
2. Multi-View Algorithm for Face, Eyes and Eye State Detection in Human Image- Study Paper [J] . Latesh Kumari, Er. Sonia Jangra, Er. Rakesh Sharma International Journal of Engineering Research and Applications . 2014,第7期

机译：人脸图像中人脸，眼睛和眼睛状态检测的多视图算法-研究论文
3. Multi-View Algorithm for Face, Eyes and Eye State Detection in Human Image- Study Paper [J] . Latesh Kumari, Er. Sonia Jangra, Er. Rakesh Sharma International Journal of Engineering Research and Applications . 2014,第7期

机译：人脸图像中人脸，眼睛和眼睛状态检测的多视图算法-研究论文
4. Detection of secondary glaucoma in human eyes using sophisticated bio-medical image processing algorithms [C] . G. Pavithra, T. C. Manjunath, Krishnananda, IEEE International Conference on Power, Control, Signals and Instrumentation Engineering . 2017

机译：使用复杂的生物医学图像处理算法检测人眼中的二次青光眼
5. Comparison of two human detection algorithms that apply Bayesian and Neyman-Pearson test criteria using infrared images. [D] . Laryea, Henry. 2008

机译：比较两种使用红外图像应用贝叶斯和Neyman-Pearson测试标准的人体检测算法。
6. An Approach to Automatic Hard Exudate Detection in Retina Color Images by a Telemedicine System Based on the d-Eye Sensor and Image Processing Algorithms [O] . Emil Saeed, Maciej Szymkowski, Khalid Saeed, 2019

机译：基于d-Eye传感器和图像处理算法的远程医学系统视网膜彩色图像自动硬渗出检测方法
7. Multi-View Algorithm for Face, Eyes and Eye State Detection in Human Image- Study Paper [O] . Latesh Kumari, Er. Sonia Jangra 2014

机译：人体图像研究中面部，眼睛和眼睛检测的多视图算法

Detection of secondary glaucoma in human eyes using sophisticated bio-medical image processing algorithms

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