Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection

13 Aug 2019Maxim PisovMikhail GoncharovNadezhda KurochkinaSergey MorozovVictor GombolevskiyValeria CherninaAnton VladzymyrskyyKsenia ZamyatinaAnna ChesnokovaIgor ProninMichael ShifrinMikhail Belyaev

Midline shift (MLS) is a well-established factor used for outcome prediction in traumatic brain injury, stroke and brain tumors. The importance of automatic estimation of MLS was recently highlighted by ACR Data Science Institute... (read more)

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