Academic Journal
Deep learning of retinal imaging: a useful tool for coronary artery calcium score prediction in diabetic patients
| العنوان: | Deep learning of retinal imaging: a useful tool for coronary artery calcium score prediction in diabetic patients |
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| المؤلفون: | Barriada, Rubén G., Simó Servat, Olga, Planas, Alejandra, Hernández, Cristina, Simó, Rafael, Masip Rodó, David |
| المساهمون: | Universitat Oberta de Catalunya. Estudis d'Informàtica, Multimèdia i Telecomunicació, Universitat Autònoma de Barcelona (UAB), Instituto de Salud Carlos III |
| بيانات النشر: | Applied Sciences |
| سنة النشر: | 2022 |
| المجموعة: | Universitat Oberta de Catalunya (UOC), Barcelona: Institutional Repository |
| مصطلحات موضوعية: | retina fundus imaging, deep learning, medical imaging, convolutional neural networks, imatge del fons de la retina, aprenentatge profund, imatge mèdica, xarxes neuronals convolucionals, imágenes de fondo de retina, aprendizaje profundo, imágenes médicas, redes neuronales convolucionales, imaging systems in medicine, deep learning (machine learning), imatgeria mèdica, sistemas de imágenes en medicina, aprendizaje automático |
| الوصف: | Cardiovascular diseases (CVD) are one of the leading causes of death in the developed countries. Previous studies suggest that retina blood vessels provide relevant information on cardiovascular risk. Retina fundus imaging (RFI) is a cheap medical imaging test that is already regularly performed in diabetic population as screening of diabetic retinopathy (DR). Since diabetes is a major cause of CVD, we wanted to explore the use Deep Learning architectures on RFI as a tool for predicting CV risk in this population. Particularly, we use the coronary artery calcium (CAC) score as a marker, and train a convolutional neural network (CNN) to predict whether it surpasses a certain threshold defined by experts. The preliminary experiments on a reduced set of clinically verified patients show promising accuracies. In addition, we observed that elementary clinical data is positively correlated with the risk of suffering from a CV disease. We found that the results from both informational cues are complementary, and we propose two applications that can benefit from the combination of image analysis and clinical data. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2076-3417 |
| Relation: | Applied Sciences, 2022, 12(3); 12;3; https://doi.org/10.3390/app12031401; info:eu-repo/grantAgreement/ES/RTI2018-095232-B-C22; Barriada, R.G., Simó-Servat, O., Planas, A., Hernández, C., Simó, R. & Masip, D. (2022). Deep Learning of Retinal Imaging: A Useful Tool for Coronary Artery Calcium Score Prediction in Diabetic Patients. Applied Sciences, 12(3), 1-10. doi:10.3390/app12031401; http://hdl.handle.net/10609/143766; http://doi.org/10.3390/app12031401 |
| DOI: | 10.3390/app12031401 |
| الاتاحة: | http://hdl.handle.net/10609/143766 https://doi.org/10.3390/app12031401 |
| Rights: | CC BY 4.0 ; https://creativecommons.org/licenses/by/4.0/ ; info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.6C7540A6 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 20763417 |
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| DOI: | 10.3390/app12031401 |