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Multicontrast Pocket Colposcopy Cervical Cancer Diagnostic Algorithm for Referral Populations
Objective and Impact Statement. We use deep learning models to classify cervix images—collected with a low-cost, portable Pocket colposcope—with biopsy-confirmed high-grade precancer and cancer. We boost classification performance on a screened-positive population by using a class-balanced loss and...
Autores principales: | , , , , , , , |
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格式: | Online Artículo Texto |
語言: | English |
出版: |
AAAS
2022
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主題: | |
在線閱讀: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521679/ https://www.ncbi.nlm.nih.gov/pubmed/37850189 http://dx.doi.org/10.34133/2022/9823184 |