Fast CNN trained model to detect the eye disease using coloured fundus image

Fast CNN trained model to detect the eye disease using coloured fundus image

This paper investigates the machine learning that is fast CNN model trained to recognize eye disease using fundus image. The dataset used is public STARE colour image to detect eye diseases. The experimentation resulted in the good accuracy with the trained CNN model, and achieved 94 percent in dete...

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Hauptverfasser: Manju, M., Yugesh, Digavinti, Yadav, Gnana Sekar, Praveen, Diyyala, Reddy, Chakradhar
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Experimentation
Eye diseases
Machine learning
Medical imaging
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Beschreibung
Zusammenfassung:This paper investigates the machine learning that is fast CNN model trained to recognize eye disease using fundus image. The dataset used is public STARE colour image to detect eye diseases. The experimentation resulted in the good accuracy with the trained CNN model, and achieved 94 percent in detecting the disease accurately in the normal patient as well as the diabetic patient with less processing time.
ISSN:0094-243X
1551-7616
DOI:10.1063/5.0072483