Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images

Integration of Deep Learning and Active Shape Models for More Accurate Prostate Segmentation in 3D MR Images

Magnetic resonance imaging (MRI) has a growing role in the clinical workup of prostate cancer. However, manual three-dimensional (3D) segmentation of the prostate is a laborious and time-consuming task. In this scenario, the use of automated algorithms for prostate segmentation allows us to bypass t...

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Bibliographic Details
Main Authors: Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Imaging
Subjects:
active shape models
automatic prostate segmentation
convolutional neural network
deep learning
hybrid framework
medical image segmentation
Online Access:https://www.mdpi.com/2313-433X/8/5/133

Internet

https://www.mdpi.com/2313-433X/8/5/133

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