A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery

Abstract

Accurate and automatic brain metastases target delineation is a key step for efficient and effective stereotactic radiosurgery (SRS) treatment planning. In this work, we developed a deep learning convolutional neural network (CNN) algorithm for segmenting brain metastases on contrast-enhanced T1-weighted magnetic resonance imaging (MRI) datasets. We… (More)
DOI: 10.1371/journal.pone.0185844

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Cite this paper

@inproceedings{Liu2017ADC, title={A deep convolutional neural network-based automatic delineation strategy for multiple brain metastases stereotactic radiosurgery}, author={Yan Liu and Strahinja Stojadinovic and Brian A Hrycushko and Zabi Wardak and Steven Yf Lau and Weiguo Lu and Yulong Yan and Steve B. Jiang and Xin Zhen and Robert Timmerman and Lucien A. Nedzi and Xuejun Gu}, booktitle={PloS one}, year={2017} }