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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...
Gardado en:
| Publicado en: | Diagnostics (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2020
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7167955/ https://ncbi.nlm.nih.gov/pubmed/31947707 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/diagnostics10010044 |
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