Conference Agenda
Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).
Please note that all times are shown in the time zone of the conference. The current conference time is: 24th Aug 2026, 05:32:12am America, Santiago
|
Daily Overview |
| Session | |
|
24E: Biomedical & Health Virtual location: VIRTUAL: Agora Meetings | |
    | |
2:24pm - 2:32pm
Evaluation of a portable retinograph assisted by convolutional neural networks for early diagnosis and grading of diabetic retinopathy Universidad Tecnológica del Perú UTP - (PE), Perú Diabetic retinopathy (DR) is one of the leading causes of vision loss worldwide, especially in regions with limited access to ophthalmological services. The aim of this study was to develop and evaluate a low-cost portable retinograph assisted by Deep Learning for early detection and severity classification of DR. The system integrates a portable device based on indirect ophthalmoscopy, 3D printing, and smartphone image acquisition, together with convolutional neural networks (CNNs) for automated analysis. A combined dataset from the Messidor, APTOS, and EyePACS databases, comprising approximately 49,430 retinal images, was used for training and validation. Image preprocessing, class balancing, and transfer learning techniques were applied using MobileNetV2 and DenseNet121 architectures, evaluated in binary and multiclass classification tasks. The results demonstrated that the prototype captured fundus images with sufficient quality for clinical visualization. In conclusion, the proposed system represents a feasible and accessible solution for DR screening in telemedicine and resource-limited settings. | |