Deep learning based automatic segmentation of organs-at-risk for 0.35 T MRgRT of lung tumors
Abstract Background and purpose Magnetic resonance imaging guided radiotherapy (MRgRT) offers treatment plan adaptation to the anatomy of the day. In the current MRgRT workflow, this requires the time consuming and repetitive task of manual delineation of organs-at-risk (OARs), which is also prone t...
I tiakina i:
| Ngā kaituhi matua: | , , , , , , , , |
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| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
BMC
2023-08-01
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| Rangatū: | Radiation Oncology |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1186/s13014-023-02330-4 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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