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: Comput. Biol. Medicine (2023)
Keyphrases
- post operative
- deep learning
- quantitative and qualitative
- cardiac surgery
- blood pressure
- intraoperative
- unsupervised learning
- computational fluid dynamics
- magnetic resonance imaging
- computer tomography
- ct scans
- machine learning
- breast cancer
- pre operative
- weakly supervised
- brain tumors
- mental models
- x ray
- treatment planning
- three dimensional
- mr images
- heart rate
- patient data
- ct images