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An automated three-dimensional visualization and classification of emphysema using neural network. Abstract: Chronic Obstructive Pulmonary Disease (COPD) is ...
Computed tomography (CT) image has been a useful modality for assessing diffuse lung diseases, particularly, emphysema. At present, diagnosis of emphysema is ...
Fingerprint. Dive into the research topics of 'An automated three-dimensional visualization and classification of emphysema using neural network'.
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Dec 3, 2019 · A deep learning algorithm using convolutional neural network and long short-term memory architectures was trained to classify pattern of ...
An Automated Three-Dimensional Visualization and Classification of Emphysema using Neural Network. October 2008 · Circuits, Systems and Computers, 1977 ...
The theory behind Neural networks, Convolutional Neural networks, and the basic theory about denoising CT images are covered in Section 2.4 and. Section 2.5.
Performs the pulmonary emphysema diagnosis with binary thresholding and hybrid classification. •. Produces a novel hybrid meta-heuristic algorithm called BM-BOA ...
An automated three-dimensional visualization and classification of emphysema using neural network ... Emphysema Using a Multi-Threshold Method and Neural Network.
Jan 4, 2020 · In this paper, we propose a 3D deep learning approach to classify COPD and emphysema using volume-wise annotations only. We also demonstrate the ...
Aug 29, 2023 · In this study, we propose a novel approach for automating the Fleischer scoring system for identifying emphysema subtypes on CT images using ...