Improving Mobile-Based Cervical Cytology Screening: A Deep Learning Nucleus-Based Approach for Lesion Detection

Improving Mobile-Based Cervical Cytology Screening: A Deep Learning Nucleus-Based Approach for Lesion Detection

Liquid-based cytology (LBC) plays a crucial role in the effective early detection of cervical cancer, contributing to substantially decreasing mortality rates. However, the visual examination of microscopic slides is a challenging, time-consuming, and ambiguous task. Shortages of specialized staff a...

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Bibliographic Details
Main Authors: Vladyslav Mosiichuk, Ana Sampaio, Paula Viana, Tiago Oliveira, Luís Rosado
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
artificial intelligence
machine learning
deep learning
cervical cancer
cervical cytology
nucleus detection
Online Access:https://www.mdpi.com/2076-3417/13/17/9850

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