Deep Learning Classifies Low- and High-Grade Glioma Patients with High Accuracy, Sensitivity, and Specificity Based on Their Brain White Matter Networks Derived from Diffusion Tensor Imaging

Classifying low-grade glioma (LGG) patients from high-grade glioma (HGG) is one of the most challenging tasks in planning treatment strategies for brain tumor patients. Previous studies derived several handcrafted features based on the tumor’s texture and volume from magnetic resonance images (MRI)...

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Bibliografiska uppgifter

Huvudupphov:	Sreejith Vidyadharan, Budhiraju Veera Venkata Satya Naga Prabhakar Rao, Yogeeswari Perumal, Kesavadas Chandrasekharan, Venkateswaran Rajagopalan
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	MDPI AG 2022-12-01
Serie:	Diagnostics
Ämnen:	white matter connectivity matrix diffusion tensor imaging deep neural network low-grade glioma high-grade glioma
Länkar:	https://www.mdpi.com/2075-4418/12/12/3216
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