The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images

The Reproducibility of Deep Learning-Based Segmentation of the Prostate Gland and Zones on T2-Weighted MR Images

Volume of interest segmentation is an essential step in computer-aided detection and diagnosis (CAD) systems. Deep learning (DL)-based methods provide good performance for prostate segmentation, but little is known about the reproducibility of these methods. In this work, an in-house collected datas...

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Bibliographic Details
Main Authors: Mohammed R. S. Sunoqrot, Kirsten M. Selnæs, Elise Sandsmark, Sverre Langørgen, Helena Bertilsson, Tone F. Bathen, Mattijs Elschot
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Diagnostics
Subjects:
prostate
segmentation
deep learning
MRI
computer-aided diagnosis
Online Access:https://www.mdpi.com/2075-4418/11/9/1690

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https://www.mdpi.com/2075-4418/11/9/1690

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