Λεπτομέρειες βιβλιογραφικής εγγραφής
| Τίτλος: |
Deep-PVC: A Deep Learning Model for Synthesizing Full-Dose Partial Volume Corrected PET Images from Low-Dose Images |
| Συγγραφείς: |
Sanaat, A., Boehringer, A., Ghavabesh, A., Shiri, I., Salimi, Y., Arabi, H., Zaidi, H. |
| Πηγή: |
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), 2021 IEEE. :1-3 Oct, 2021 |
| Relation: |
2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) |
| Βάση Δεδομένων: |
IEEE Xplore Digital Library |