Closed JonathanChiang closed 5 years ago
Docker-Compose: docker xn = [inference, training, preprocess]
docker x1 - (inference) docker x2 - (training) docker x3 - (preprocess) docker y1 - (frontend)
python tutorials:
Pipeline Scripts: (ken) feed some data:
neuro imaging (steps) (sequence: type of MRI) ( preprocessing time bottleneck = head can move )
persistent intensity biases (scanner artifacts)
bias removal
artifact perturbation algorithms
framework agnostic: nice to have
Docker-Compose: docker xn = [inference, training, preprocess]
docker x1 - (inference) docker x2 - (training) docker x3 - (preprocess) docker y1 - (frontend)
python tutorials:
Pipeline Scripts: (ken) feed some data:
neuro imaging (steps) (sequence: type of MRI) ( preprocessing time bottleneck = head can move )
persistent intensity biases (scanner artifacts)
bias removal
artifact perturbation algorithms
framework agnostic: nice to have