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MARTHA - Combining gaze into deep learning for fully quantitative human testicular histology analysisOpen Access

Kockwelp, Jacqueline; Kliesch, Sabine; Gromoll, Jörg; Wistuba, Joachim; Risse, Benjamin

Research article (journal) | Peer reviewed

Details about the publication

Journal: Computers in Biology and Medicine
Volume: 199
Page range: 111270null
Status: Published
Release year: 2025
DOI: 10.1016/j.compbiomed.2025.111270
Link to the full text: https://www.sciencedirect.com/science/article/pii/S0010482525016245
Keywords: Reproductive medicine; Quantitative histomorphometry; Computer vision; Deep learning; Eye tracking; Image annotation; Digital pathology

Authors from the University of Münster

Gromoll, Jörg
Centrum für Reproduktionsmedizin und Andrologie (CeRA)
Kliesch, Sabine
Klinik für Andrologie
Kockwelp, Jacqueline
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Risse, Benjamin
Professorship of Geoinformatics for Sustainable Development (Prof. Risse)
Wistuba, Joachim
Institut für Reproduktions- und Regenerationsbiologie