Magnetic Resonance Spectroscopy Quantification Using Deep Learning.

Nima Hatami Michaël Sdika Hélène Ratiney

Published in: MICCAI (1) (2018)

Keyphrases

deep learning
magnetic resonance spectroscopy
prostate cancer
unsupervised learning
machine learning
unsupervised feature learning
brain tumors
mental models
weakly supervised
domain knowledge
computer vision
deep architectures