Evaluation of the feasibility of explainable computer-aided detection of cardiomegaly on chest radiographs using deep learning

We examined the feasibility of explainable computer-aided detection of cardiomegaly in routine clinical practice using segmentation-based methods. Overall, 793 retrospectively acquired posterior–anterior (PA) chest X-ray images (CXRs) of 793 patients were used to train deep learning (DL) models for...

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Detalles Bibliográficos
Autores principales: Lee, Mu Sook, Kim, Yong Soo, Kim, Minki, Usman, Muhammad, Byon, Shi Sub, Kim, Sung Hyun, Lee, Byoung Il, Lee, Byoung-Dai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376868/
https://www.ncbi.nlm.nih.gov/pubmed/34413405
http://dx.doi.org/10.1038/s41598-021-96433-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8376868/
https://www.ncbi.nlm.nih.gov/pubmed/34413405
http://dx.doi.org/10.1038/s41598-021-96433-1

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