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...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , , , , , , , , |
|---|---|
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
BMC
2023-08-01
|
| Σειρά: | Radiation Oncology |
| Θέματα: | |
| Διαθέσιμο Online: | https://doi.org/10.1186/s13014-023-02330-4 |
| Ετικέτες: |
Δεν υπάρχουν, Καταχωρήστε ετικέτα πρώτοι!
|