Combined Dataset (COD) Results

• Models are trained on a COD excluding the target dataset, and tested on the target dataset (numbers in bold indicate number of parameters per model). Models are trained for a fixed number of 1000 epochs, with a learning rate of 0.001 until epoch 900 and then 0.0001 until the end of the training.

• Database and model resource configuration links (table top row and left column) are linked to the originating configuration files used to obtain these results.

• Single performance numbers correspond to a priori performance indicators, where the threshold is previously selected on the training set (COD excluding the target dataset)

• You can cross check the analysis numbers provided in this table by downloading this software package, the raw data, and running bob binseg analyze providing the model URL as --weight parameter.

• For comparison purposes, we provide “second-annotator” performances on the same test set, where available.

• Retinal Vessel Segmentation for Retinography