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1 Ergebnisse
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Deep learning-based auto-segmentation of organs at risk in ..:
Mohammadi, R
;
Shokatian, I
;
Salehi, M
...
Mohammadi, R. and Shokatian, I. and Salehi, M. and Arabi, H. and Shiri, I. and Zaidi, H. (2021) Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer. Radiotherapy and Oncology, 159. pp. 231-240.. , 2021
Link:
http://eprints.iums.ac.ir/39284/
RT Journal T1 <Title>Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftiranunivms:oai:eprints.iums.ac.ir:39284&Exemplar=1&LAN=DE A1 Mohammadi, R A1 Shokatian, I A1 Salehi, M A1 Arabi, H A1 Shiri, I A1 Zaidi, H YR 2021 K1 WP Gynecology K1 QZ Pathology JF Mohammadi, R. and Shokatian, I. and Salehi, M. and Arabi, H. and Shiri, I. and Zaidi, H. (2021) Deep learning-based auto-segmentation of organs at risk in high-dose rate brachytherapy of cervical cancer. Radiotherapy and Oncology, 159. pp. 231-240. LK http://eprints.iums.ac.ir/39284/ DO http://eprints.iums.ac.ir/39284/ SF ELIB - SuUB Bremen
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