Detection of pneumonia from chest X-rays using convolutional neural networks

Pneumonia detection from chest X-rays is crucial for early diagnosis, and deep learning models –specifically convolutional neural networks (CNNs) – have shown promise in automating this process. In this study, a CNN using the DenseNet-121 architecture was developed and trained, referred to as LDCS2...

書誌詳細
出版年:	Mokslas: Lietuvos Ateitis
主要な著者:	Paulius Bundza, Justas Trinkūnas
フォーマット:	論文
言語:	英語
出版事項:	Vilnius Gediminas Technical University 2025-09-01
主題:	LDCS2 Convolutional Neural Networks (CNNs) chest X-ray classification pneumonia detection DenseNet-121 medical imaging
オンライン･アクセス:	https://journals.vilniustech.lt/index.php/MLA/article/view/23905

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