Data on Obesity, Fitness and Wellness Detailed by Researchers at School of Electrical Engineering (Fractional Chef Based Optimization Algorithm Trained Deep Learning for Cardiovascular Risk Prediction Using Retinal Fundus Images).
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| Title: | Data on Obesity, Fitness and Wellness Detailed by Researchers at School of Electrical Engineering (Fractional Chef Based Optimization Algorithm Trained Deep Learning for Cardiovascular Risk Prediction Using Retinal Fundus Images). |
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| Source: | Cardiovascular Week; 8/5/2024, p158-158, 1p |
| Subject Terms: | BIOMEDICAL signal processing, OPTIMIZATION algorithms, FEATURE extraction, PREVENTIVE health services, ELECTRICAL engineering |
| Geographic Terms: | TAMIL Nadu (India) |
| Abstract: | Researchers at the School of Electrical Engineering in Tamil Nadu, India have developed a deep learning algorithm to predict cardiovascular risk using retinal fundus images. The algorithm involves preprocessing the images, detecting the optic disc, segmenting blood vessels, and extracting texture features. The algorithm achieved high accuracy, sensitivity, and specificity in predicting cardiovascular risk. This research has been peer-reviewed and published in the journal Biomedical Signal Processing and Control. [Extracted from the article] |
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| Database: | Complementary Index |
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