Deep learning automates bidimensional and volumetric tumor burden measurement from MRI in pre- and post-operative glioblastoma patients.
Jakub NalepaKrzysztof KotowskiBartosz MachuraSzymon AdamskiOskar BozekBartosz EksnerBartosz KokoszkaTomasz PekalaMateusz RadomMarek StrzelczakLukasz ZarudzkiAgata KrasonFilippo ArcaduJean TessierPublished in: CoRR (2022)
Keyphrases
- post operative
- deep learning
- quantitative and qualitative
- cardiac surgery
- computer tomography
- magnetic resonance imaging
- computational fluid dynamics
- blood pressure
- intraoperative
- unsupervised learning
- ct scans
- machine learning
- pre operative
- three dimensional
- mental models
- treatment planning
- breast cancer
- medical images
- mri data
- x ray
- patient specific
- weakly supervised
- brain tumors
- magnetic resonance images
- ct images
- computer assisted
- clinical applications