AnnoCerv: A new dataset for feature-driven and image-based automated colposcopy analysis
Dorina Adelina Minciună,
Demetra Gabriela Socolov,
Attila Szőcs
et al.
Abstract:Colposcopy imaging is pivotal in cervical cancer diagnosis, a major health concern for women. The computational challenge lies in accurate lesion recognition. A significant hindrance for many existing machine learning solutions is the scarcity of comprehensive training datasets.
To reduce this gap, we present AnnoCerv: a comprehensive dataset tailored for feature-driven and image-based colposcopy analysis. Distinctively, AnnoCerv include detailed segmentations, expert-backed colposcopic annotati… Show more
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