[OA216] Development of Breast Tumours Models Database

performed with left-right flipped images.Training was done with scans from five infarct patients and subsequent testing with five separate cases.35 epochs with 15 subepochs were used in the training.Results.The initial results were promising as the infarcts in all the test cases could be correctly lateralized.The achieved voxel-wise segmentation performance was moderate (considering small training set) with Sørensen-Dice similarity coefficient 0.52 for the test data.Conclusions.The significance of open science and freely available scientific software will only increase in the future.Convolutional neural networks demonstrate promising prospects for medical imaging.DeepMedic can be applied to CT images with proper data preprocessing.In a future study the findings will be verified with a larger cohort.Improving the performance with additional input features will also be investigated.