LDDNet: A Deep Learning Framework for the Diagnosis of Infectious Lung Diseases

This paper proposes a new deep learning (DL) framework for the analysis of lung diseases, including COVID-19 and pneumonia, from chest CT scans and X-ray (CXR) images. This framework is termed optimized DenseNet201 for lung diseases (LDDNet). The proposed LDDNet was developed using additional layers...

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書誌詳細

主要な著者:	Prajoy Podder, Sanchita Rani Das, M. Rubaiyat Hossain Mondal, Subrato Bharati, Azra Maliha, Md Junayed Hasan, Farzin Piltan
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2023-01-01
シリーズ:	Sensors
主題:	infectious disease COVID-19 CT scan X-ray ResNet152V2 DenseNet201
オンライン･アクセス:	https://www.mdpi.com/1424-8220/23/1/480
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