Cargando…
Codeless Deep Learning of COVID-19 Chest X-Ray Image Dataset with KNIME Analytics Platform
OBJECTIVES: This paper proposes a method for computer-assisted diagnosis of coronavirus disease 2019 (COVID-19) through chest X-ray imaging using a deep learning model without writing a single line of code using the Konstanz Information Miner (KNIME) analytics platform. METHODS: We obtained 155 samp...
Autores principales: | An, Jun Young, Seo, Hoseok, Kim, Young-Gon, Lee, Kyu Eun, Kim, Sungwan, Kong, Hyoun-Joong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Korean Society of Medical Informatics
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7921566/ https://www.ncbi.nlm.nih.gov/pubmed/33611880 http://dx.doi.org/10.4258/hir.2021.27.1.82 |
Ejemplares similares
-
Codeless Deep Learning with KNIME
por: Melcher, Kathrin, et al.
Publicado: (2020) -
Text Mining of Biomedical Articles Using the Konstanz Information Miner (KNIME) Platform: Hemolytic Uremic Syndrome as a Case Study
por: Dorr, Ricardo A., et al.
Publicado: (2022) -
Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis
por: Nam, Sangwoo, et al.
Publicado: (2019) -
Augmented Reality to Localize Individual Organ in Surgical Procedure
por: Lee, Dongheon, et al.
Publicado: (2018) -
Tools and tutorial on practical ray tracing for microscopy
por: Pineau Noël, Valérie, et al.
Publicado: (2021)