Generative AI in glioma: Ensuring diversity in training image phenotypes to improve diagnostic performance for IDH mutation prediction

This study evaluated whether generative artificial intelligence (AI)-based augmentation (GAA) can provide diverse and realistic imaging phenotypes and improve deep learning-based classification of isocitrate dehydrogenase (IDH) type in glioma compared with neuroradiologists. For model development, 5...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Neuro-oncology (Charlottesville, Va.) Va.), 2024-06, Vol.26 (6), p.1124
Hauptverfasser: Moon, Hye Hyeon, Jeong, Jiheon, Park, Ji Eun, Kim, Namkug, Choi, Changyong, Kim, Young-Hoon, Song, Sang Woo, Hong, Chang-Ki, Kim, Jeong Hoon, Kim, Ho Sung
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!