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What is the title of the article about diabetic retinopathy diagnosis based on a deep learning methodology?
What is the title of the article about diabetic retinopathy diagnosis based on a deep learning methodology?
The title of the article is 'Diabetic Retinopathy Diagnosis based on Convolutional Neural Network - A Data Mining Inspired Methodology towards the Identification of Diabetic Retinopathy'.
Where can the article be found?
Where can the article be found?
The article can be found in the Journal of Physics: Conference Series, volume 1999, published in 2021.
Who are the authors of the article?
Who are the authors of the article?
The authors of the article are Mohammed hamzah Abed, Lamia Abed Noor Muhammed, and Sarah Hussein Toman.
What institution are the authors affiliated with?
What institution are the authors affiliated with?
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What is the focus of the article?
What is the focus of the article?
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Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
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Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
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The article discusses the use of Convolutional Neural Network for Diabetic Retinopathy ______.
The article discusses the use of Convolutional Neural Network for Diabetic Retinopathy ______.
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The authors are affiliated with the Faculty of Computer Science and Information Technology at the University of Al-Qadisiyah in ______.
The authors are affiliated with the Faculty of Computer Science and Information Technology at the University of Al-Qadisiyah in ______.
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The article was downloaded from IP address ______ on 24/12/2023 at 18:13.
The article was downloaded from IP address ______ on 24/12/2023 at 18:13.
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The article was published in the Journal of Physics: Conference Series, volume 1999, in the year ______.
The article was published in the Journal of Physics: Conference Series, volume 1999, in the year ______.
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Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
Diabetic Retinopathy DR is a popular disease for many people as a result of age or the ______, as a result, it can cause blindness.
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The article was published in the Journal of Physics: Conference Series, volume 1999, in the year ______.
The article was published in the Journal of Physics: Conference Series, volume 1999, in the year ______.
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The authors are affiliated with the Faculty of Computer Science and Information Technology at the University of Al-Qadisiyah in ______.
The authors are affiliated with the Faculty of Computer Science and Information Technology at the University of Al-Qadisiyah in ______.
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The article was downloaded from IP address ______ on 24/12/2023 at 18:13.
The article was downloaded from IP address ______ on 24/12/2023 at 18:13.
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What is the title of the article about diabetic retinopathy diagnosis based on a deep learning methodology?
What is the title of the article about diabetic retinopathy diagnosis based on a deep learning methodology?
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Study Notes
Article Details
- Title of the article relates to diabetic retinopathy diagnosis using deep learning methodology.
- Available in the Journal of Physics: Conference Series, volume 1999.
- Published in the year 2023.
- Downloaded from a specific IP address on 24/12/2023 at 18:13.
Author Information
- Authors affiliated with the Faculty of Computer Science and Information Technology.
- Institution is the University of Al-Qadisiyah.
Focus of the Article
- Focuses on diabetic retinopathy, a common disease leading to potential blindness.
- The condition can arise from age or diabetes, increasing prevalence among older adults.
- Discusses the application of Convolutional Neural Network (CNN) in diagnosing diabetic retinopathy.
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Description
Test your knowledge on the detection of diabetic retinopathy using deep learning methodology. Explore the principles of data mining and convolutional neural networks in the identification of diabetic retinopathy.
