Mask region-based CNNs for cervical cancer progression diagnosis on pap smear examinations

This research presents a novel approach for cervical cancer detection and segmentation using tissue images with multiple cells. The study employs a novel deep learning architecture based on Mask Region-Based Convolutional Neural Network (RCNN) and statistical analysis. This new architecture enables...

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Detalles Bibliográficos
Autores principales: Rutili de Lima, Carolina, Khan, Said G., Shah, Syed H., Ferri, Luthiari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641213/
https://www.ncbi.nlm.nih.gov/pubmed/37964829
http://dx.doi.org/10.1016/j.heliyon.2023.e21388

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10641213/
https://www.ncbi.nlm.nih.gov/pubmed/37964829
http://dx.doi.org/10.1016/j.heliyon.2023.e21388

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