Browsing by Author "Diwakar R V 1NH20IS046 Sravan Kumar T 1NH20IS181 B Jaffer Sadiq 1NH20IS194"

Now showing 1 - 1 of 1
  • Thumbnail Image
    Item
    “Visionary Diagnosis: Exploring Cardiovascular Links in Retinal Imagery”
    (NHCE, 2023) Diwakar R V 1NH20IS046 Sravan Kumar T 1NH20IS181 B Jaffer Sadiq 1NH20IS194
    Cardiovascular diseases (CVDs) are a leading cause of mortality worldwide. Early detectionand accurate diagnosis of CVDs are crucial for effective intervention and improved patientoutcomes. Retinal imaging has emerged as a non-invasive and cost-effective technique for CVD prediction. This study aims to develop a deep learning model using convolutionalneural networks (CNNs) and MobileNet architecture to predict CVDs from retinal images. The proposed model leverages the capabilities of CNNs to automatically learn relevant featuresfromretinal images and MobileNet'slightweight design for efficient deployment.A large dataset ofretinal images, including healthy individuals and CVD patients, is utilizedfor model training and evaluation.