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arXiv · 1711.07624

A deep learning-based method for relative location prediction in CT scan images

Jiajia Guo·Hongwei Du·Bensheng Qiu·Xiao Liang
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Abstract

Relative location prediction in computed tomography (CT) scan images is a challenging problem. In this paper, a regression model based on one-dimensional convolutional neural networks is proposed to determine the relative location of a CT scan image both robustly and precisely. A public dataset is employed to validate the performance of the study's proposed method using a 5-fold cross validation. Experimental results demonstrate an excellent performance of the proposed model when compared with the state-of-the-art techniques, achieving a median absolute error of 1.04 cm and mean absolute error of 1.69 cm.

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Jiajia Guo, Hongwei Du, Bensheng Qiu, Xiao Liang. 2017-11-21. A deep learning-based method for relative location prediction in CT scan images. https://arxiv.org/abs/1711.07624

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