Detection Of Anatomical Structures In Ct Data Using Convolutional Neural Networks

Abstract

This paper deals with a detection of anatomical structures in medical images using convolutional neural networks (CNN). The designed algorithm contains 2 methods for region proposals and CNN for their classification into categories. Output of the CNN is then postprocessed to obtain the detection result. Categories for detection are head, spine, heart, left and right lung, aorta, liver, left and right kidney, spleen and background. For training and validation of the network were created 2 sets of CT data with annotated areas of selected structures.