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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...

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Principais autores: Maryam Montazerolghaem, Yu Sun, Giuseppe Sasso, Annette Haworth
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2023-03-01
Serier:Bioengineering
Fag:
prostate cancer
prostate segmentation
U-Net
mp-MRI
loss function
medical imaging
Online adgang:https://www.mdpi.com/2306-5354/10/4/412
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