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Abstract #5401

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

Sewon Kim1,2, Won C Bae3,4, 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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