A comprehensive summary of LGDs datasets.

<div><p>Lung diseases (LGDs) are related to an extensive range of lung disorders, including pneumonia (PNEUM), lung cancer (LC), tuberculosis (TB), and COVID-19 etc. The diagnosis of LGDs is performed by using different medical imaging such as X-rays, CT scans, and MRI. However, LGDs con...

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Bibliographic Details
Main Author:	Ali Haider Khan (10342634) (author)
Other Authors:	Jianqiang Li (390212) (author), Muhammad Nabeel Asghar (20910148) (author), Sajid Iqbal (7836977) (author)
Published:	2025
Subjects:	Medicine Cancer Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified extreme learning machine affine transformation methods 82 %, respectively 21 %, 94 enhance lgd datasets using ct scans five different lgds div >< p 4 </ sup 39 %, 93 lgd_net model achieves lc ), tuberculosis based baseline models ct scans 96 %, lgd_net model datasets contain coo ), study concludes study aims sota ). sore throat lung disorders lung diseases initial phase including pneumonia imbalanced distribution four cnn findings demonstrate extensive range even death capsule network borderline smote automated classifier
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A comprehensive summary of LGDs datasets.

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