Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks | Zendy

Omar AlLouzi | Zendy; Snehashis Roy | Zendy; Ikesinachi Osuorah | Zendy; Prasanna Parvathaneni | Zendy; Bryan Smith | Zendy; Joan Ohayon | Zendy; Pascal Sati | Zendy; Dzung L. Pham | Zendy; Steven Jacobson | Zendy; Avindra Nath | Zendy; Daniel S. Reich | Zendy; Irene Cortese | Zendy

Open Access

Progressive multifocal leukoencephalopathy lesion and brain parenchymal segmentation from MRI using serial deep convolutional neural networks

Author(s) -

Omar AlLouzi,

Snehashis Roy,

Ikesinachi Osuorah,

Prasanna Parvathaneni,

Bryan Smith,

Joan Ohayon,

Pascal Sati,

Dzung L. Pham,

Steven Jacobson,

Avindra Nath,

Daniel S. Reich,

Irene Cortese

Publication year - 2020

Publication title -

neuroimage clinical

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.772

H-Index - 68

ISSN - 2213-1582

DOI - 10.1016/j.nicl.2020.102499

Subject(s) - convolutional neural network , segmentation , progressive multifocal leukoencephalopathy , lesion , computer science , atrophy , artificial intelligence , medicine , deep learning , feature (linguistics) , pattern recognition (psychology) , pathology , multiple sclerosis , linguistics , philosophy , psychiatry

Highlights • PML has characteristic dynamic changes in brain and lesion volume on MRI.• JCnet is an automated method for brain atrophy and lesion segmentation in PML.• JCnet improves PML lesion segmentation accuracy compared to conventional methods.• JCnet can accurately track PML lesion changes over time.

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