A Comparative Analysis of Deep Learning Models for Automated Cross-Preparation Diagnosis of Multi-Cell Liquid Pap Smear Images

Routine Pap smears can facilitate early detection of cervical cancer and improve patient outcomes. The objective of this work is to develop an automated, clinically viable deep neural network for the multi-class Bethesda System diagnosis of multi-cell images in Liquid Pap smear samples. 8 deep learn...

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Detalles Bibliográficos
Autores principales: Karasu Benyes, Yasmin, Welch, E. Celeste, Singhal, Abhinav, Ou, Joyce, Tripathi, Anubhav
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406372/
https://www.ncbi.nlm.nih.gov/pubmed/36010189
http://dx.doi.org/10.3390/diagnostics12081838

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9406372/
https://www.ncbi.nlm.nih.gov/pubmed/36010189
http://dx.doi.org/10.3390/diagnostics12081838

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