CNN based method for classifying cervical cancer cells in pap smear images
Remita Austin; R. Parvathi · 2025 · Scientific Reports
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract
The absence of reliable early treatment serves as one of the main causes of cervical cancer. Hence, it is crucial to detect cervical cancer early. The biggest challenge in diagnosing cervical cancer early is that it is asymptomatic until it develops into invasive carcinoma. In medical applications, the use of machine learning and deep learning is successful as a classifier in the preliminary identification of cancerous cells in the cervical region. In our study, we present a CNN-based method for the classification of cervical cancer cells. We present a method for accurately classifying Pap sme
Abstract by Remita Austin; R. Parvathi, Scientific Reports (2025) — licensed CC BY 4.0.
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Metadata source: OpenAlex · DOI 10.1038/s41598-025-10009-x