A deep learning approach for automated diagnosis of pulmonary embolism on computed tomographic pulmonary angiography

BACKGROUND: Computed tomographic pulmonary angiography (CTPA) is the diagnostic standard for confirming pulmonary embolism (PE). Since PE is a life-threatening condition, early diagnosis and treatment are critical to avoid PE-associated morbidity and mortality. However, PE remains subject to misdiag...

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Detalles Bibliográficos
Autores principales: Ajmera, Pranav, Kharat, Amit, Seth, Jitesh, Rathi, Snehal, Pant, Richa, Gawali, Manish, Kulkarni, Viraj, Maramraju, Ragamayi, Kedia, Isha, Botchu, Rajesh, Khaladkar, Sanjay
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651891/
https://www.ncbi.nlm.nih.gov/pubmed/36368975
http://dx.doi.org/10.1186/s12880-022-00916-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9651891/
https://www.ncbi.nlm.nih.gov/pubmed/36368975
http://dx.doi.org/10.1186/s12880-022-00916-0

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