Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging

Neural Network Models for Prostate Zones Segmentation in Magnetic Resonance Imaging

Prostate cancer (PCa) is one of the most common tumors diagnosed in men worldwide, with approximately 1.7 million new cases expected by 2030. Most cancerous lesions in PCa are located in the peripheral zone (PZ); therefore, accurate identification of the location of the lesion is essential for effec...

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Bibliographic Details
Main Authors: Saman Fouladi, Luca Di Palma, Fatemeh Darvizeh, Deborah Fazzini, Alessandro Maiocchi, Sergio Papa, Gabriele Gianini, Marco Alì
Format: Article
Language:English
Published: MDPI AG 2025-02-01
Series:Information
Subjects:
prostate zonal segmentation
ensemble learning
Meta-Net
YOLO-V8
U-Net neural network
magnetic resonance imaging (MRI)
Online Access:https://www.mdpi.com/2078-2489/16/3/186
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