Classification system from Optical Coherence Tomography using transfer learning

Classification system from Optical Coherence Tomography using transfer learning

This research aims to create a decision support system to identify retinal diseases using a four-class classification problem. To achieve this, the proposed system uses deep learning architecture to automatically recognize CNV, DME, and drusen from OCT images. The model employs two transfer learning...

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Bibliographic Details
Main Authors: Muhamad Asvial, Tobias Ivandito Margogo Silalahi, Muh. Asnoer Laagu
Format: Article
Language:English
Published: Polish Academy of Sciences 2024-11-01
Series:International Journal of Electronics and Telecommunications
Subjects:
deep learning
transfer learning
optical coherence tomography
inception v3
vgg-16
Online Access:https://journals.pan.pl/Content/133212/PDF/12-4722-Asvial-sk.pdf
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