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Heart Attack Risk Prediction using Retinal Eye Images | Machine Learning Project 2023 2024
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Heart Attack Risk Prediction using Retinal Images | Machine Learning Project 2023 2024
ABSTRACT
Cardiovascular disease is one of the most fatal conditions in the present world.
In under a minute, an artificial intelligence program can take a picture of the back of a person's eye and by analyzing the strength of the blood vessels that feed the retina find clues that may point to higher risks of a stroke or heart attack.
A unifying goal of work like this is to develop new disease detection or monitoring approaches that are less invasive, more accurate, cheaper and more readily available.
However, one restriction to potential broad population-level applicability of efforts to extract biomarkers from fundus photos is getting the fundus photos themselves, which requires specialized imaging equipment and a trained technician.
Contact us on - +91 9363932473
Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions
Including Packages
=======================
* Base Paper
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Readme File
* Addons
* Video Tutorials
* Supporting Softwares
Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand *
* Remote Connectivity *
* Code Customization **
* Document Customization **
* Live Chat Support
heart attack risk prediction using retinal images, Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning, detection of anaemia from retinal fundus images via deep learning, Detection of signs of disease in external photographs of the eyes via deep learning, Google retinal cardiovascular, Detection of signs of disease in external photographs of the eyes via deep learning, Eye disease detection using machine learning, Fundus image-based eye detection detection, Heart Attack Detection using Machine Learning , Heart Disease Prediction using Machine Learning, Deep Projects 2023 2024
ABSTRACT
Cardiovascular disease is one of the most fatal conditions in the present world.
In under a minute, an artificial intelligence program can take a picture of the back of a person's eye and by analyzing the strength of the blood vessels that feed the retina find clues that may point to higher risks of a stroke or heart attack.
A unifying goal of work like this is to develop new disease detection or monitoring approaches that are less invasive, more accurate, cheaper and more readily available.
However, one restriction to potential broad population-level applicability of efforts to extract biomarkers from fundus photos is getting the fundus photos themselves, which requires specialized imaging equipment and a trained technician.
Contact us on - +91 9363932473
Ieee Xpert, India. The Best Bulk Service Provider for IEEE Solutions
Including Packages
=======================
* Base Paper
* Complete Source Code
* Complete Documentation
* Complete Presentation Slides
* Flow Diagram
* Database File
* Screenshots
* Execution Procedure
* Readme File
* Addons
* Video Tutorials
* Supporting Softwares
Specialization
=======================
* 24/7 Support
* Ticketing System
* Voice Conference
* Video On Demand *
* Remote Connectivity *
* Code Customization **
* Document Customization **
* Live Chat Support
heart attack risk prediction using retinal images, Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning, detection of anaemia from retinal fundus images via deep learning, Detection of signs of disease in external photographs of the eyes via deep learning, Google retinal cardiovascular, Detection of signs of disease in external photographs of the eyes via deep learning, Eye disease detection using machine learning, Fundus image-based eye detection detection, Heart Attack Detection using Machine Learning , Heart Disease Prediction using Machine Learning, Deep Projects 2023 2024
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