Cargando…
Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data
The possibility to use widespread and simple chest X-ray (CXR) imaging for early screening of COVID-19 patients is attracting much interest from both the clinical and the AI community. In this study we provide insights and also raise warnings on what is reasonable to expect by applying deep learning...
Autores principales: | Tartaglione, Enzo, Barbano, Carlo Alberto, Berzovini, Claudio, Calandri, Marco, Grangetto, Marco |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7557723/ https://www.ncbi.nlm.nih.gov/pubmed/32971995 http://dx.doi.org/10.3390/ijerph17186933 |
Ejemplares similares
-
Sarcoma Immunotherapy: Confronting Present Hurdles and Unveiling Upcoming Opportunities
por: Jeong, Sehan, et al.
Publicado: (2023) -
Kinematic Factors Associated with Hitting Hurdles During the Initial Phase of a 110-m Hurdle Race
por: Iwasaki, Ryo, et al.
Publicado: (2022) -
Deep Learning Classification of Tuberculosis Chest X-rays
por: Goswami, Kartik K, et al.
Publicado: (2023) -
Unveiling the Hurdles in Cultivating Humanistic Physicians in the Clinical Setting: An Exploratory Study
por: Mustika, Rita, et al.
Publicado: (2020) -
Diagnostic chest X-ray in atrial septal defects
por: Rigatelli, Gianluca, et al.
Publicado: (2020)