Adaptive quadtree-based segmentation of nucleus and cytoplasm in pap-smear images: a lightweight and interpretable approach for automated cytology

BackgroundAutomated analysis of Pap-smear images plays an important role in cervical cancer screening, particularly in low-resource settings where manual cytology remains labour-intensive, subjective, and prone to inter-observer variability. On the other hand, accurate segmentation of the nucleus an...

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Detalhes bibliográficos

Principais autores:	Wasswa William, Andrew Ware
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-06-01
coleção:	Frontiers in Artificial Intelligence
Assuntos:	cervical cytology computer-aided diagnosis cytoplasm segmentation medical image analysis nucleus segmentation pap-smear
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/frai.2026.1834763/full
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