SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model

SAM-UNETR: Clinically Significant Prostate Cancer Segmentation Using Transfer Learning From Large Model

Prostate cancer (PCa) is one of the leading causes of cancer-related mortality among men worldwide. Accurate and efficient segmentation of clinically significant prostate cancer (csPCa) regions from magnetic resonance imaging (MRI) plays a crucial role in diagnosis, treatment planning, and monitorin...

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Bibliographic Details
Main Authors: Jesus Alejandro Alzate-Grisales, Alejandro Mora-Rubio, Francisco Garcia-Garcia, Reinel Tabares-Soto, Maria De La Iglesia-Vaya
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Artificial intelligence
deep learning
prostate cancer
semantic segmentation
Online Access:https://ieeexplore.ieee.org/document/10292632/

Internet

https://ieeexplore.ieee.org/document/10292632/

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