U-Net Architecture for Prostate Segmentation: The Impact of Loss Function on System Performance
Segmentation of the prostate gland from magnetic resonance images is rapidly becoming a standard of care in prostate cancer radiotherapy treatment planning. Automating this process has the potential to improve accuracy and efficiency. However, the performance and accuracy of deep learning models var...
I tiakina i:
| Ngā kaituhi matua: | , , , |
|---|---|
| Hōputu: | Artigo |
| Reo: | Inglês |
| I whakaputaina: |
MDPI AG
2023-03-01
|
| Rangatū: | Bioengineering |
| Ngā marau: | |
| Urunga tuihono: | https://www.mdpi.com/2306-5354/10/4/412 |
| Ngā Tūtohu: |
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
|