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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Veröffentlicht in:	IEEE access 2023-01, Vol.11, p.1-1
Hauptverfasser:	Alzate-Grisales, Jesus Alejandro, Mora-Rubio, Alejandro, Garcia-Garcia, Francisco, Tabares-Soto, Reinel, Iglesia-Vaya, Maria de la
Format:	Artikel
Sprache:	eng
Schlagworte:	Artificial intelligence Clinical significance Coders Data augmentation deep learning Image segmentation Learning Lesions Magnetic resonance imaging Medical imaging Preprocessing Principal component analysis Prostate cancer Scale models semantic segmentation Task analysis Training Transfer learning
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