Image Embeddings Extracted from CNNs Outperform Other Transfer Learning Approaches in Classification of Chest Radiographs

To identify the best transfer learning approach for the identification of the most frequent abnormalities on chest radiographs (CXRs), we used embeddings extracted from pretrained convolutional neural networks (CNNs). An explainable AI (XAI) model was applied to interpret black-box model predictions...

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Detalles Bibliográficos
Autores principales: Gozzi, Noemi, Giacomello, Edoardo, Sollini, Martina, Kirienko, Margarita, Ammirabile, Angela, Lanzi, Pierluca, Loiacono, Daniele, Chiti, Arturo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497580/
https://www.ncbi.nlm.nih.gov/pubmed/36140486
http://dx.doi.org/10.3390/diagnostics12092084

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9497580/
https://www.ncbi.nlm.nih.gov/pubmed/36140486
http://dx.doi.org/10.3390/diagnostics12092084

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