Quantifying intra-tumoral genetic heterogeneity of glioblastoma toward precision medicine using MRI and a data-inclusive machine learning algorithm.
Lujia WangHairong WangFulvio D'AngeloLee CurtinChristopher P. SeredukGustavo De LeonKyle W. SingletonJavier UrcuyoAndrea Hawkins-DaarudPamela R. JacksonChandan KrishnaRichard S. ZimmermanDevi P. PatraBernard R. BendokKris A. SmithPeter NakajiKliment DonevLeslie C. BaxterMaciej M. MrugalaMichele CeccarelliAntonio IavaroneKristin R. SwansonNhan L. TranLeland S. HuJing LiPublished in: CoRR (2024)
Keyphrases
- data sets
- learning algorithm
- data processing
- raw data
- training data
- data points
- data collection
- reinforcement learning
- high dimensional data
- data analysis
- databases
- original data
- labeled data
- input data
- medical images
- data structure
- supervised learning
- statistical analysis
- semi supervised
- training samples
- high precision
- data mining
- neural network
- learning models