Automated multi-class high-grade glioma segmentation based on T1Gd and FLAIR images

Glioma is the most prevalent primary malignant brain tumor. Segmentation of glioma regions using magnetic resonance imaging (MRI) is essential for treatment planning. However, segmentation of glioma regions is usually based on four MRI modalities, which are T1, T2, T1Gd, and FLAIR. Acquiring these f...

Full beskrivning

Bibliografiska uppgifter

Huvudupphov:	Areen K. Al-Bashir, Abeer N. Al Obeid, Mohammad A. Al-Abed, Imad S. Athamneh, Maysoon A-R. Banihani, Rabah M. Al Abdi
Materialtyp:	Artigo
Språk:	Inglês
Utgiven:	Elsevier 2024-01-01
Serie:	Informatics in Medicine Unlocked
Ämnen:	Brain tumor segmentation Convolutional neural networks (CNNs) HGG Pre-trained CNNs U-net
Länkar:	http://www.sciencedirect.com/science/article/pii/S2352914824001266
Taggar:	Lägg till en tagg Inga taggar, Lägg till första taggen!