Cargando…
COVID-19 identification from volumetric chest CT scans using a progressively resized 3D-CNN incorporating segmentation, augmentation, and class-rebalancing
The novel COVID-19 is a global pandemic disease overgrowing worldwide. Computer-aided screening tools with greater sensitivity are imperative for disease diagnosis and prognosis as early as possible. It also can be a helpful tool in triage for testing and clinical supervision of COVID-19 patients. H...
Autores principales: | Hasan, Md. Kamrul, Jawad, Md. Tasnim, Hasan, Kazi Nasim Imtiaz, Partha, Sajal Basak, Masba, Md. Masum Al, Saha, Shumit, Moni, Mohammad Ali |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Authors. Published by Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8494187/ https://www.ncbi.nlm.nih.gov/pubmed/34642640 http://dx.doi.org/10.1016/j.imu.2021.100709 |
Ejemplares similares
-
Extraction and Recognition of Bangla Texts from Natural Scene Images Using CNN
por: Islam, Rashedul, et al.
Publicado: (2020) -
Resizing : reestructurando, replanteando y recreando la empresa para lograr competitividad
por: Biasca, Rodolfo E. (Rodolfo Eduardo)
Publicado: (1992) -
Seroprevalence of SARS-CoV-2 IgG antibodies among health care workers prior to vaccine administration in Europe, the USA and East Asia: A systematic review and meta-analysis
por: Hossain, Ahmed, et al.
Publicado: (2021) -
Transfer learning with fine-tuned deep CNN ResNet50 model for classifying COVID-19 from chest X-ray images
por: Hossain, Md. Belal, et al.
Publicado: (2022) -
CNN6mA: Interpretable neural network model based on position-specific CNN and cross-interactive network for 6mA site prediction
por: Tsukiyama, Sho, et al.
Publicado: (2022)