Longitudinal brain tumor segmentation prediction in MRI using feature and label fusion

This work proposes a novel framework for brain tumor segmentation prediction in longitudinal multimodal MRI scans, comprising two methods; feature fusion and joint label fusion (JLF). The first method fuses stochastic multi-resolution texture features with tumor cell density feature to obtain tumor...

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Veröffentlicht in:	Biomedical signal processing and control 2020-01, Vol.55, p.101648, Article 101648
Hauptverfasser:	Pei, Linmin, Bakas, Spyridon, Vossough, Arastoo, Reza, Syed M.S., Davatzikos, Christos, Iftekharuddin, Khan M.
Format:	Artikel
Sprache:	eng
Schlagworte:	BraTS Feature and label fusion Lattice-Boltzmann method Longitudinal MRI Reaction-diffusion equation Texture features Tumor segmentation prediction
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