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...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Areen K. Al-Bashir, Abeer N. Al Obeid, Mohammad A. Al-Abed, Imad S. Athamneh, Maysoon A-R. Banihani, Rabah M. Al Abdi
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	Elsevier 2024-01-01
סדרה:	Informatics in Medicine Unlocked
נושאים:	Brain tumor segmentation Convolutional neural networks (CNNs) HGG Pre-trained CNNs U-net
גישה מקוונת:	http://www.sciencedirect.com/science/article/pii/S2352914824001266
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!