Transformer-based factorized encoder for classification of pneumoconiosis on 3D CT images

In the past decade, deep learning methods have been implemented in the medical image fields and have achieved good performance. Recently, deep learning algorithms have been successful in the evaluation of diagnosis on lung images. Although chest radiography (CR) is the standard data modality for dia...

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Vydáno v:	Computers in biology and medicine Ročník 150; s. 106137
Hlavní autoři:	Huang, Yingying, Si, Yang, Hu, Bingliang, Zhang, Yan, Wu, Shuang, Wu, Dongsheng, Wang, Quan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States Elsevier Ltd 01.11.2022 Elsevier Limited
Témata:	3D convolutional autoencoder Algorithms Classification Coders Computed tomography Datasets Deep learning Feature extraction Feature maps Humans Image classification Inter-slice interaction Internal Medicine Intra-slice interaction Lesions Lungs Machine learning Medical imaging Other Pneumoconiosis Pneumoconiosis - diagnostic imaging Radiography Standard data Thorax Tomography, X-Ray Computed Transformer-based factorized encoder Transformers Transformer-based factorized encoder Intra-slice interaction Inter-slice interaction 3D convolutional autoencoder
ISSN:	0010-4825, 1879-0534, 1879-0534
On-line přístup:	Získat plný text
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