Abstract #5401

Automatic delicate segmentation of the intervertebral discs from MR spine images using deep convolutional neural networks: ICU-net

Sewon Kim^1,2, Won C Bae^3,4, and Dosik Hwang¹

¹School of Electrical and Electronic Engineering, Yonsei University, Seoul, Republic of Korea, ²Philips Korea, Seoul, Republic of Korea, ³Department of Radiology, VA San Diego Healthcare System, San Diego, CA, United States, ⁴Department of Radiology, University of California-San Diego, La Jolla, CA, United States

The segmentation method using Deep Convolutional Neural Networks shows good performance in medical imaging. In particular, U-net is a well-known and successful model. However, U-net based on classification network shows weakness in fine segmentation. We developed a new model by changing layers and structure of U-net. Our model enables more detailed segmentation of the intervertebral discs in spine MR images.

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