Chest X-ray Bone Suppression for Improving Classification of Tuberculosis-Consistent Findings

Chest X-rays (CXRs) are the most commonly performed diagnostic examination to detect cardiopulmonary abnormalities. However, the presence of bony structures such as ribs and clavicles can obscure subtle abnormalities, resulting in diagnostic errors. This study aims to build a deep learning (DL)-base...

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書誌詳細

主要な著者:	Sivaramakrishnan Rajaraman, Ghada Zamzmi, Les Folio, Philip Alderson, Sameer Antani
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2021-05-01
シリーズ:	Diagnostics
主題:	deep learning bone suppression tuberculosis convolutional neural networks classification statistical analysis
オンライン･アクセス:	https://www.mdpi.com/2075-4418/11/5/840
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