Cargando…
Intelligence Classification Algorithm-Based Drug-Resistant Pulmonary Tuberculosis Computed Tomography Imaging Features and Influencing Factors
The drug resistance and influencing factors of patients with pulmonary tuberculosis were investigated, and a dual attention dilated residual network (DADRN) algorithm was proposed. The algorithm was applied to process and analyze lung computed tomography (CT) images of 400 included patients with pul...
Autores principales: | Jiang, Yanping, Zhao, Xinguo, Fan, Zhengfei |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9135543/ https://www.ncbi.nlm.nih.gov/pubmed/35634067 http://dx.doi.org/10.1155/2022/3141807 |
Ejemplares similares
-
Artificial Intelligence Algorithm-Based Feature Extraction of Computed Tomography Images and Analysis of Benign and Malignant Pulmonary Nodules
por: Gao, Yuantong, et al.
Publicado: (2022) -
Detection and Classification of COVID-19 by Lungs Computed Tomography Scan Image Processing using Intelligence Algorithm
por: Safdarian, Naser, et al.
Publicado: (2021) -
Computed Tomography Features of Parotid Tuberculosis
por: de Lima, Larissa Nobre Lopes, et al.
Publicado: (2023) -
Automatic classification of pulmonary nodules in computed tomography images using pre-trained networks and bag of features
por: Lima, Thiago, et al.
Publicado: (2023) -
ARTIFICIAL INTELLIGENCE MODELS FOR COVID-19 CLASSIFICATION: RADIOMIC FEATURES AND QUANTITATIVE ANALYSIS OF COMPUTED TOMOGRAPHY IMAGING OF VIRAL PNEUMONIA
por: Zorzi, Giulia, et al.
Publicado: (2022)