Domain-adversarial neural network for improved generalization performance of Gleason grade classification - researchr publication authors

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Ida Arvidsson, Niels Christian Overgaard, Agnieszka Krzyzanowska, Felicia-Elena Marginean, Athanasios Simoulis, Anders Bjartell, Kalle Åström, Anders Heyden. Domain-adversarial neural network for improved generalization performance of Gleason grade classification. In John E. Tomaszewski, Aaron D. Ward, editors, Medical Imaging 2020: Digital Pathology, Houston, TX, USA, February 15-20, 2020. Volume 11320 of SPIE Proceedings, pages 1132016, SPIE, 2020. [doi]

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