A systematic review of effective data augmentation in cervical cancer detection

The rapid progress of AI has made computer-assisted systems essential in medical fields like cervical cytology analysis. Deep learning requires large datasets, but data scarcity and privacy concerns pose challenges. Data augmentation addresses this by generating additional images and improving model...

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Bibliographic Details
Main Authors: Betelhem Zewdu Wubineh, Andrzej Rusiecki, Krzysztof Halawa
Format: Article
Language:English
Published: Polish Academy of Sciences 2025-06-01
Series:International Journal of Electronics and Telecommunications
Subjects:
Online Access:https://journals.pan.pl/Content/135235/5-4984-Wubineh-sk.pdf
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