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Abstract #4111

Machine learning challenge using uniform prostate MRI scans from 4 centers (PRORAD)

Harri Merisaari1, Pekka Taimen2, Otto Ettala2, Juha Knaapila2, Kari T Syvänen2, Esa Kähkönen2, Aida Steiner2, Janne Verho2, Paula Vainio2, Marjo Seppänen3, Jarno Riikonen4, Sanna Mari Vimpeli4, Antti Rannikko5, Outi Oksanen5, Tuomas Mirtti5, Ileana Montoya Perez1, Tapio Pahikkala1, Parisa Movahedi1, Tarja Lamminen2, Jani Saunavaara2, Peter J Boström2, Hannu J Aronen1, and Ivan Jambor6
1University of Turku, Turku, Finland, 2Turku University Hospital, Turku, Finland, 3Satakunta Central Hospital, Pori, Finland, 4Tampere University Hospital, Tampere, Finland, 5Helsinki University Hospital, Helsinki, Finland, 6Icahn School of Medicine at Mount Sinai, New York, NY, United States

PRORAD is a series of machine learning challenges hosted at CodaLab which provide access to prostate MRI data sets from 4 centers performed using a publicly available IMPROD bpMRI acquisition protocol. The challenge is designed for purposes of developing, validating and independent testing of various machine learning methods for prostate MRI.


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