Name: Deep Neural Network Based Approach for Retinal Disease Detection (en Inglés)
SKU: 66365744
Price: 1052.33 MXN
Availability: InStock
Author: Sridhar, B.
ISBN: 9786209360091

portada Deep Neural Network Based Approach for Retinal Disease Detection (en Inglés)

Deep Neural Network Based Approach for Retinal Disease Detection (en Inglés)

Formato

Libro Físico

Editorial

LAP Lambert Academic Publishing

Autor

Sridhar, B.

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

22.9x15.2x0.3 cm

ISBN13

9786209360091

Deep Neural Network Based Approach for Retinal Disease Detection (en Inglés)

Sridhar, B. (Autor) · LAP Lambert Academic Publishing · Tapa Blanda

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Reseña del libro "Deep Neural Network Based Approach for Retinal Disease Detection (en Inglés)"

This work focuses on the automated detection of retinal diseases such as Diabetic Retinopathy (DR) and Age-related Macular Degeneration (AMD) using MATLAB, GLCM (Gray Level Co-occurrence Matrix), and Deep Neural Networks (DNNs). Retinal images are processed through contrast enhancement, noise reduction, and segmentation techniques to extract meaningful features. GLCM is employed for texture-based feature extraction, while a deep learning model classifies the disease stages with high precision. To enhance practical usability, the system is integrated with hardware components such as Arduino, an LCD display, and a buzzer alert mechanism. The LCD screen displays the classification results, and the buzzer provides an alert if abnormalities are detected, ensuring immediate attention. This embedded approach makes the system suitable for real-time applications in hospitals, clinics, and remote healthcare centers. The project aims to offer an efficient, cost-effective, and accessible solution for early disease detection, potentially reducing vision loss through timely diagnosis and treatment.