Exploiting Partial Common Information Microstructure for Multi-Modal Brain Tumor Segmentation

Learning with multiple modalities is crucial for automated brain tumor segmentation from magnetic resonance imaging data. Explicitly optimizing the common information shared among all modalities (e.g., by maximizing the total correlation) has been shown to achieve better feature representations and...

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Veröffentlicht in:	arXiv.org 2023-07
Hauptverfasser:	Mei, Yongsheng, Venkataramani, Guru, Tian Lan
Format:	Artikel
Sprache:	eng
Schlagworte:	Brain Brain cancer Image segmentation Learning Magnetic resonance imaging Maximization Microstructure Modal data Optimization Representations Tumors
Online-Zugang:	Volltext
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