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

Hye Hyeon Moon Jiheon Jeong Jie Eun Park Namkug KimChangyong ChoiYoung-Hoon Kim Sang Woo Song Chang Ki Hong Jeong Hoon Kim Ho Sung Kim

Published in: Neuro-oncology (2024)

The application of generative AI with realistic and diverse images provided better diagnostic performance than neuroradiologists for predicting IDH type in glioma.

Keyphrases

deep learning
artificial intelligence
low grade
convolutional neural network
wild type
machine learning
optical coherence tomography
high grade