Cargando…
Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort
ABSTRACT: Corona Virus Disease (COVID-19) has spread globally quickly, and has resulted in a large number of causalities and medical resources insufficiency in many countries. Reverse-transcriptase polymerase chain reaction (RT-PCR) testing is adopted as biopsy tool for confirmation of virus infecti...
Autores principales: | Zhu, Ziwei, Xingming, Zhang, Tao, Guihua, Dan, Tingting, Li, Jiao, Chen, Xijie, Li, Yang, Zhou, Zhichao, Zhang, Xiang, Zhou, Jinzhao, Chen, Dongpei, Wen, Hanchun, Cai, Hongmin |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7872116/ https://www.ncbi.nlm.nih.gov/pubmed/33565027 http://dx.doi.org/10.1007/s12539-020-00408-1 |
Ejemplares similares
-
Classification of COVID-19 Chest CT Images Based on Ensemble Deep Learning
por: Li, Xiaoshuo, et al.
Publicado: (2021) -
Novel typing of iliac vein compression in asymptomatic individuals evaluated by contrast enhanced CT
por: Li, Jiaying, et al.
Publicado: (2021) -
Deep Ensemble Model for COVID-19 Diagnosis and Classification Using Chest CT Images
por: Ragab, Mahmoud, et al.
Publicado: (2021) -
Deep transfer learning based classification model for covid-19 using chest CT-scans
por: LAHSAINI, Ilyas, et al.
Publicado: (2021) -
The diagnostic and prognostic value of radiomics and deep learning technologies for patients with solid pulmonary nodules in chest CT images
por: Zhang, Rui, et al.
Publicado: (2022)