Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning
Multimodal classification of Radiation-Induced Contrast Enhancements and tumor recurrence using deep learning explores RICE-NET is a deep learning model for classifying tumor recurrence versus radiation-induced enhancements in glioblastoma patients using multimodal MRI data.. Commercial viability score: 3/10 in Medical AI.
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