Search Results for author: Axel Semjonow

Found 3 papers, 0 papers with code

Deep Learning for Prostate Pathology

no code implementations11 Oct 2019 Okyaz Eminaga, Yuri Tolkach, Christian Kunder, Mahmood Abbas, Ryan Han, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Sebastian Huss, Andreas Loening, Robert West, Geoffrey Sonn, Richard Fan, Olaf Bettendorf, James Brook, Daniel Rubin

For case usage, these models were applied for the annotation tasks in clinician-oriented pathology reports for prostatectomy specimens.

Biologic and Prognostic Feature Scores from Whole-Slide Histology Images Using Deep Learning

no code implementations21 Oct 2019 Okyaz Eminaga, Mahmood Abbas, Yuri Tolkach, Rosalie Nolley, Christian Kunder, Axel Semjonow, Martin Boegemann

Histopathology is a reflection of the molecular changes and provides prognostic phenotypes representing the disease progression.

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology

no code implementations23 Aug 2023 Okyaz Eminaga, Mahmoud Abbas, Christian Kunder, Yuri Tolkach, Ryan Han, James D. Brooks, Rosalie Nolley, Axel Semjonow, Martin Boegemann, Robert West, Jin Long, Richard Fan, Olaf Bettendorf

Adjusting the decision threshold for the secondary Gleason pattern from 5% to 10% improved the concordance level between pathologists and vPatho for tumor grading on prostatectomy specimens (kappa from 0. 44 to 0. 64).

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