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Erschienen in:
2022 | OriginalPaper | Buchkapitel
NMF for Quality Control of Multi-modal Retinal Images for Diagnosis of Diabetes Mellitus and Diabetic Retinopathy
verfasst von : Anass Benali, Laura Carrera, Ann Christin, Ruben Martín, Anibal Alé, Marina Barraso, Carolina Bernal, Sara Marín, Silvia Feu, Josep Rosinés, Teresa Hernandez, Irene Vilá, Cristian Oliva, Irene Vinagre, Emilio Ortega, Marga Gimenez, Enric Esmatjes, Javier Zarranz-Ventura, Enrique Romero, Alfredo Vellido
Erschienen in: Bioinformatics and Biomedical Engineering
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Abstract
In current ophthalmology, images of the vascular system in the human retina are used as exploratory proxies for pathologies affecting different organs. In this brief paper, we use multi-modal retinal images for assisting diagnostic decision making in diabetes mellitus and diabetic retinopathy. We report the use of matrix factorization-based source extraction techniques to pre-process the images as a data quality control step prior to their classification. Through this quality control, we unveil some relevant sources of bias in the data. After correcting for them, promising pathology classification results are still obtained, which merit further exploration.