arXiv (Cornell University)· 2018· Preprint
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
- 1,422citations
- 2018year
Short summary
A review of seven years of the BraTS challenge (2012-2018) identifies state-of-the-art machine learning methods for segmenting glioma sub-regions, assessing tumor progression beyond RECIST/RANO criteria, and predicting overall survival from pre-operative MRI scans.
AI-generated from the title and abstract; the full text is not read.
TakeawaysIn the app
Key pointsIn the app
Ask the paperIn the app
The rest is in the Pofolia app
Takeaways, key points and questions to the paper; new summaries every day for your field. Free.
Sign in on the web to openField: Genetics
GeneticsMedicine