The Performance of a Deep Learning-Based Automatic Measurement Model for Measuring the Cardiothoracic Ratio on Chest Radiographs

Objective: Prior studies on models based on deep learning (DL) and measuring the cardiothoracic ratio (CTR) on chest radiographs have lacked rigorous agreement analyses with radiologists or reader tests. We validated the performance of a commercially available DL-based CTR measurement model with var...

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Detalles Bibliográficos
Autores principales: Kim, Donguk, Lee, Jong Hyuk, Jang, Myoung-jin, Park, Jongsoo, Hong, Wonju, Lee, Chan Su, Yang, Si Yeong, Park, Chang Min
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525628/
https://www.ncbi.nlm.nih.gov/pubmed/37760179
http://dx.doi.org/10.3390/bioengineering10091077

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10525628/
https://www.ncbi.nlm.nih.gov/pubmed/37760179
http://dx.doi.org/10.3390/bioengineering10091077

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