Cargando…
Deep learning for pulmonary embolism detection on computed tomography pulmonary angiogram: a systematic review and meta-analysis
Computed tomographic pulmonary angiography (CTPA) is the gold standard for pulmonary embolism (PE) diagnosis. However, this diagnosis is susceptible to misdiagnosis. In this study, we aimed to perform a systematic review of current literature applying deep learning for the diagnosis of PE on CTPA. M...
Autores principales: | Soffer, Shelly, Klang, Eyal, Shimon, Orit, Barash, Yiftach, Cahan, Noa, Greenspana, Hayit, Konen, Eli |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8338977/ https://www.ncbi.nlm.nih.gov/pubmed/34349191 http://dx.doi.org/10.1038/s41598-021-95249-3 |
Ejemplares similares
-
Multimodal fusion models for pulmonary embolism mortality prediction
por: Cahan, Noa, et al.
Publicado: (2023) -
Trends in inflammatory bowel disease treatment in the past two decades‐a high‐level text mining analysis of PubMed publications
por: Klang, Eyal, et al.
Publicado: (2021) -
Changes in Helicobacter pylori Treatment from Discovery to Nowadays: A High-Level Analysis of PubMed Publications
por: Klang, Eyal, et al.
Publicado: (2022) -
A Convolutional Neural Network Deep Learning Model Trained on CD Ulcers Images Accurately Identifies NSAID Ulcers
por: Klang, Eyal, et al.
Publicado: (2021) -
Research trends analysis of chronic hepatitis C versus nonalcoholic fatty liver disease: A literature review text‐mining analysis of publications
por: Klang, Eyal, et al.
Publicado: (2022)