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