Fig. 1 | Scientific Reports

Fig. 1

From: Predicting visual field global and local parameters from OCT measurements using explainable machine learning

Fig. 1

(a) Flowchart of the proposed methodology of this study involves several key stages, including the phenotyping of raw data, extraction of features in the spatial domain, selection of relevant features, VF prediction, and model interpretation employing eXplainable Machine Learning (XML). (b) Flowchart for implementing the OCT to VF prediction tool (glaucoma vs non-glaucoma) based on explainable machine learning. Blue-coloured blocks represent explainable analysis.

Back to article page