A fusion method based on Deep Learning and Case-Based Reasoning which improves the resulting medical image segmentations

•This paper proposes a DL-CBR method for the fusion of segmentations.•This method has been applied to 9 children with an average of 109 slices per patient.•Tumours and kidneys were segmented separately and merged through our method.•Results obtained resolved all the conflicts and improved the overall segmentations.