Validation of a Deep Learning Model for Detecting Chest Pathologies from Digital Chest Radiographs

Purpose: Manual interpretation of chest radiographs is a challenging task and is prone to errors. An automated system capable of categorizing chest radiographs based on the pathologies identified could aid in the timely and efficient diagnosis of chest pathologies. Method: For this retrospective stu...

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Detalles Bibliográficos
Autores principales: Ajmera, Pranav, Onkar, Prashant, Desai, Sanjay, Pant, Richa, Seth, Jitesh, Gupte, Tanveer, Kulkarni, Viraj, Kharat, Amit, Passi, Nandini, Khaladkar, Sanjay, Kulkarni, V. M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914339/
https://www.ncbi.nlm.nih.gov/pubmed/36766661
http://dx.doi.org/10.3390/diagnostics13030557

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9914339/
https://www.ncbi.nlm.nih.gov/pubmed/36766661
http://dx.doi.org/10.3390/diagnostics13030557

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