LGD_Net: Capsule network with extreme learning machine for classification of lung diseases using CT scans.

ABSTRACT: 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 contain similar symptoms such as fever, cough, and sore throat, making it challenging for radiologists to classify these LGDs. If LGDs are not diagnosed at their initial phase, they may produce severe complications or even death. An automated classifier is required for the classification of LGDs. Thus, this study aims to propose a novel model named lung diseases classification network (LGD_Net) based on the combination of a capsule network (CapsNet) with the extreme learning machine (ELM) for the classification of fiv

SUBMITTER: Khan AH 

PROVIDER: S-EPMC12334061 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature