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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