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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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Principais autores: Massimo Salvi, Bruno De Santi, Bianca Pop, Martino Bosco, Valentina Giannini, Daniele Regge, Filippo Molinari, Kristen M. Meiburger
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2022-05-01
Serier:Journal of Imaging
Fag:
active shape models
automatic prostate segmentation
convolutional neural network
deep learning
hybrid framework
medical image segmentation
Online adgang:https://www.mdpi.com/2313-433X/8/5/133
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