Artificial intelligence-based iliofemoral deep venous thrombosis detection using a clinical approach

Early diagnosis of deep venous thrombosis is essential for reducing complications, such as recurrent pulmonary embolism and venous thromboembolism. There are numerous studies on enhancing efficiency of computer-aided diagnosis, but clinical diagnostic approaches have never been considered. In this s...

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Detalles Bibliográficos
Autores principales: Seo, Jae Won, Park, Suyoung, Kim, Young Jae, Hwang, Jung Han, Yu, Sung Hyun, Kim, Jeong Ho, Kim, Kwang Gi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849339/
https://www.ncbi.nlm.nih.gov/pubmed/36653367
http://dx.doi.org/10.1038/s41598-022-25849-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9849339/
https://www.ncbi.nlm.nih.gov/pubmed/36653367
http://dx.doi.org/10.1038/s41598-022-25849-0

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