Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI

Evaluation of Deep Neural Networks for Semantic Segmentation of Prostate in T2W MRI

In this paper, we present an evaluation of four encoder–decoder CNNs in the segmentation of the prostate gland in T2W magnetic resonance imaging (MRI) image. The four selected CNNs are FCN, SegNet, U-Net, and DeepLabV3+, which was originally proposed for the segmentation of road scene, biomedical, a...

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Bibliographic Details
Main Authors: Zia Khan, Norashikin Yahya, Khaled Alsaih, Syed Saad Azhar Ali, Fabrice Meriaudeau
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Sensors
Subjects:
encoder–decoder
CNNs
DNN
FCN
SegNet
U-Net
Online Access:https://www.mdpi.com/1424-8220/20/11/3183

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