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Deep learning-based cardiothoracic ratio measurement on chest radiograph: accuracy improvement without self-annotation
BACKGROUND: A reproducible and accurate automated approach to measuring cardiothoracic ratio on chest radiographs is warranted. This study aimed to develop a deep learning-based model for estimating the cardiothoracic ratio on chest radiographs without requiring self-annotation and to compare its re...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585545/ https://www.ncbi.nlm.nih.gov/pubmed/37869343 http://dx.doi.org/10.21037/qims-23-187 |