Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture

Karl Emil Jøker; Peter Christian Derek Leutscher; Kristine Brøndbjerg Øby; Karoline Jøker; Bodo Sahondra Randrianasolo; Maciej Plocharski; Louise Thomsen Schmidt Arenholt

doi:10.1371/journal.pntd.0014037

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Open Access

Peer-reviewed

Research Article

Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture

Karl Emil Jøker ,

Roles Conceptualization, Formal analysis, Funding acquisition, Investigation, Methodology, Project administration, Software, Validation, Visualization, Writing – original draft, Writing – review & editing

* E-mail: karl.joeker@rn.dk

Affiliation Centre for Clinical Research, North Denmark Regional Hospital, Hjoerring, Denmark

https://orcid.org/0009-0007-7274-8076

⨯
Peter Christian Derek Leutscher,

Roles Conceptualization, Funding acquisition, Investigation, Methodology, Project administration, Supervision, Writing – review & editing

Affiliations Centre for Clinical Research, North Denmark Regional Hospital, Hjoerring, Denmark, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
⨯
Kristine Brøndbjerg Øby,

Roles Conceptualization, Investigation, Resources, Software

Affiliation Centre for Clinical Research, North Denmark Regional Hospital, Hjoerring, Denmark
⨯
Karoline Jøker,

Roles Conceptualization, Data curation, Formal analysis, Investigation, Resources, Writing – review & editing

Affiliation Centre for Clinical Research, North Denmark Regional Hospital, Hjoerring, Denmark
⨯
Bodo Sahondra Randrianasolo,

Roles Resources

Affiliation Association K’OLO VANONA, Antananarivo, Madagascar
⨯
Maciej Plocharski,

Roles Methodology, Supervision, Writing – original draft, Writing – review & editing

Affiliation Department of Health Science and Technology, Aalborg University, Aalborg, Denmark
⨯
Louise Thomsen Schmidt Arenholt

Roles Conceptualization, Data curation, Formal analysis, Resources, Supervision, Writing – review & editing

Affiliations Centre for Clinical Research, North Denmark Regional Hospital, Hjoerring, Denmark, Department of Clinical Medicine, Aalborg University, Aalborg, Denmark
⨯

Image segmentation of cervical grainy sandy patches lesions associated with female genital schistosomiasis using deep convolutional neural network with U-NET architecture

Karl Emil Jøker,
Peter Christian Derek Leutscher,
Kristine Brøndbjerg Øby,
Karoline Jøker,
Bodo Sahondra Randrianasolo,
Maciej Plocharski,
Louise Thomsen Schmidt Arenholt

Published: March 5, 2026
https://doi.org/10.1371/journal.pntd.0014037

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