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Related Experiment Video

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Automated, Quantitative Cognitive/Behavioral Screening of Mice: For Genetics, Pharmacology, Animal Cognition and Undergraduate Instruction

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Automated Framework for Screening of Glaucoma Through Cloud Computing.

M Soorya¹, Ashish Issac², Malay Kishore Dutta³

¹Department of Computer Science and Engineering, Amity University, Noida, India.

Journal of Medical Systems

|April 7, 2019

Summary

This summary is machine-generated.

This study introduces a cloud-based system for automatic glaucoma detection using fundus images. The system provides fast, accessible, and accurate initial screening, aiding early intervention where specialists are scarce.

Keywords:

Base64 encoding Cloud computing Django Docker Fundus images Glaucoma Heroku ISNT rule OpenCV Optic disc Retinal vessels Web application

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Area of Science:

Ophthalmology
Medical Imaging
Cloud Computing

Background:

Computer-aided diagnosis (CAD) for glaucoma detection from fundus images is increasingly common.
Early detection of glaucoma is crucial for preventing vision loss.

Purpose of the Study:

To propose a cloud-based system for automatic and real-time glaucoma screening.
To offer a scalable, accessible, and device-independent diagnostic tool.

Main Methods:

Utilizing automatic image processing techniques on digital fundus images.
Analyzing key medical parameters: optic-cup-to-disc ratio, optic neuro-retinal rim, and ISNT rules.
Developing a cloud-based platform for accessibility and scalability.

Main Results:

The system generates comprehensive diagnostic reports with clinically significant parameters.
Achieved an average sensitivity of 93.7% for glaucoma cases on a fundus image database.
Performs initial screening in an average of 6 seconds on high-resolution images.

Conclusions:

The cloud-based system is an efficient and economical method for initial glaucoma screening.
It serves as an effective assistive diagnostic tool, especially in areas with limited access to ophthalmologists.
Facilitates early disease intervention and management through accessible technology.