tignet - WMH Segmentation Challenge
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WMH Segmentation Challenge

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    • Manual reference standard
    • MRI parameters
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    • Teams:
    • achilles
    • acunet
    • arg
    • bigrbrain
    • bigrbrain 2
    • bioengineering_espol_team
    • buckeye_ai
    • caai_amh
    • cian
    • coroflo
    • dice
    • fmrib-truenet
    • fmrib-truenet 2
    • hadi
    • himinn
    • ipmi-bern
    • k2
    • knight
    • livia
    • lrde
    • misp
    • misp 2
    • neuro.ml
    • neuro.ml 2
    • nic-vicorob
    • nih_cidi
    • nih_cidi 2
    • nist
    • nlp_logix
    • pitt-vamp
    • pitt-vamp 2
    • pgs
    • rasha_simple
    • rasha_improved
    • scan
    • skkumedneuro
    • sysu_media
    • sysu_media 2
    • text_class
    • tig
    • tig 2
    • tignet
    • tum_ibbm
    • uned
    • uned 2
    • uned_contrast
    • upc_dlmi
    • wta
    • wta 2
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tignet

A neural network with the HighResNet architecture. The network was trained on 2,660 images segmented using the method of team tig.

Presentation of this method.
Full description of this method.
Docker container of this method.

by Hugo J. Kuijf, Image Sciences Institute, UMC Utrecht, the Netherlands

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