Deep learning with diffusion basis spectrum imaging for classification of multiple sclerosis lesions.

Zezhong YeAjit GeorgeAnthony T WuXuan NiuJoshua LinGautam AdusumilliRobert T NaismithAnne H Cross Peng SunSheng-Kwei Song

Published in: Annals of clinical and translational neurology (2020)

DBSI-DNN improves the classification of different MS lesion subtypes, which could aid clinical decision making. The efficacy and efficiency of DBSI-DNN shows great promise for clinical applications in automatic MS lesion detection and classification.

Keyphrases

deep learning
multiple sclerosis
machine learning
artificial intelligence
convolutional neural network
decision making
mass spectrometry
ms ms
big data
high resolution
white matter