Application of Automatic Segmentation on Super-Resolution Reconstruction MR Images of the Abnormal Fetal Brain.
T DeprestLucas FidonFrederik De KeyzerMichael EbnerJan A DeprestPhilippe DemaerelLuc de CatteTom VercauterenSébastien OurselinSteven DymarkowskiMichael AertsenPublished in: AJNR. American journal of neuroradiology (2023)
Our novel segmentation algorithm obtained excellent results on MR images of fetuses with severe brain abnormalities. Analysis of the outliers shows the need to include pathologies underrepresented in the current data set. Quality control to prevent occasional errors is still needed.
Keyphrases
- deep learning
- convolutional neural network
- quality control
- artificial intelligence
- resting state
- white matter
- machine learning
- contrast enhanced
- magnetic resonance
- functional connectivity
- big data
- cerebral ischemia
- patient safety
- early onset
- emergency department
- computed tomography
- blood brain barrier
- brain injury
- data analysis
- subarachnoid hemorrhage
- adverse drug