Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology

Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology

Cervical cancer (CC) remains a significant health issue, especially in low- and middle-income countries (LMICs). While Pap smears are the standard screening method, they have limitations, like low sensitivity and subjective interpretation. Liquid-based cytology (LBC) offers improvements but still re...

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Bibliographic Details
Main Authors: Mariangel Rodríguez, Claudio Córdova, Isabel Benjumeda, Sebastián San Martín
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Computation
Subjects:
cervical cancer
deep learning
cell segmentation
pap smear
liquid-based cytology
Online Access:https://www.mdpi.com/2079-3197/12/12/232
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https://www.mdpi.com/2079-3197/12/12/232

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