Deep Learning-Enabled Detection of Pneumoperitoneum in Supine and Erect Abdominal Radiography: Modeling Using Transfer Learning and Semi-Supervised Learning

OBJECTIVE: Detection of pneumoperitoneum using abdominal radiography, particularly in the supine position, is often challenging. This study aimed to develop and externally validate a deep learning model for the detection of pneumoperitoneum using supine and erect abdominal radiography. MATERIALS AND...

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Detalles Bibliográficos
Autores principales: Park, Sangjoon, Ye, Jong Chul, Lee, Eun Sun, Cho, Gyeongme, Yoon, Jin Woo, Choi, Joo Hyeok, Joo, Ijin, Lee, Yoon Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Korean Society of Radiology 2023
Materias:
Gastrointestinal Imaging
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248357/
https://www.ncbi.nlm.nih.gov/pubmed/37271208
http://dx.doi.org/10.3348/kjr.2022.1032

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10248357/
https://www.ncbi.nlm.nih.gov/pubmed/37271208
http://dx.doi.org/10.3348/kjr.2022.1032

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