Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS)-Reference-Cited by-同舟云学术

Development and clinical implementation of SeedNet: A sliding-window convolutional neural network for radioactive seed identification in MRI-assisted radiosurgery (MARS)

Published:2019-02-08 Issue:6 Volume:81 Page:3888-3900
ISSN:0740-3194
Container-title:Magnetic Resonance in Medicine
language:en
Short-container-title:Magn Reson Med

Author:

Sanders Jeremiah W.¹²^ORCID,Frank Steven J.³,Kudchadker Rajat J.²⁴,Bruno Teresa L.³,Ma Jingfei¹²

Affiliation:

1. Department of Imaging Physics; University of Texas MD Anderson Cancer Center; Houston Texas

2. Medical Physics Graduate Program; University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences; Houston Texas

3. Department of Radiation Oncology; University of Texas MD Anderson Cancer Center; Houston Texas

4. Department of Radiation Physics; University of Texas MD Anderson Cancer Center; Houston Texas

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/mrm.27677/fullpdf

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