Cross-Dataset Evaluation of Deep Learning Networks for Uterine Cervix Segmentation

Evidence from recent research shows that automatic visual evaluation (AVE) of photographic images of the uterine cervix using deep learning-based algorithms presents a viable solution for improving cervical cancer screening by visual inspection with acetic acid (VIA). However, a significant performa...

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Detalles Bibliográficos
Autores principales: Guo, Peng, Xue, Zhiyun, Long, L. Rodney, Antani, Sameer
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167955/
https://www.ncbi.nlm.nih.gov/pubmed/31947707
http://dx.doi.org/10.3390/diagnostics10010044

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7167955/
https://www.ncbi.nlm.nih.gov/pubmed/31947707
http://dx.doi.org/10.3390/diagnostics10010044

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