Cargando…
Study on transfer learning capabilities for pneumonia classification in chest-x-rays images
Background:over the last year, the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and its variants have highlighted the importance of screening tools with high diagnostic accuracy for new illnesses such as COVID-19. In that regard, deep learning approaches have proven as effective solu...
Autores principales: | Avola, Danilo, Bacciu, Andrea, Cinque, Luigi, Fagioli, Alessio, Marini, Marco Raoul, Taiello, Riccardo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier B.V.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9033299/ https://www.ncbi.nlm.nih.gov/pubmed/35537296 http://dx.doi.org/10.1016/j.cmpb.2022.106833 |
Ejemplares similares
-
Bodyprint—A Meta-Feature Based LSTM Hashing Model for Person Re-Identification
por: Avola, Danilo, et al.
Publicado: (2020) -
Transfer learning with chest X-rays for ER patient classification
por: Stubblefield, Jonathan, et al.
Publicado: (2020) -
A Novel Transformer-Based IMU Self-Calibration Approach through On-Board RGB Camera for UAV Flight Stabilization
por: Avola, Danilo, et al.
Publicado: (2023) -
Deep Transfer Learning for the Multilabel Classification of Chest X-ray Images
por: Huang, Guan-Hua, et al.
Publicado: (2022) -
Multi-Label Classification of Chest X-ray Abnormalities Using Transfer Learning Techniques
por: Kufel, Jakub, et al.
Publicado: (2023)