An automatic cervical cell classification model based on improved DenseNet121

Abstract The cervical cell classification technique can determine the degree of cellular abnormality and pathological condition, which can help doctors to detect the risk of cervical cancer at an early stage and improve the cure and survival rates of cervical cancer patients. Addressing the issue of...

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Bibliographic Details
Main Authors: Yue Zhang, Chunyu Ning, Wenjing Yang
Format: Article
Language:English
Published: Nature Portfolio 2025-01-01
Series:Scientific Reports
Subjects:
Online Access:https://doi.org/10.1038/s41598-025-87953-1
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