Analysis of feature decision boundaries indicated that the Lung-RADS grade possessed high discriminative power for identifying adenocarcinoma, whereas NSE demonstrated stronger discriminative ability for identifying small cell carcinoma.<h4>Conclusions</h4>The TT-ResMLP hybrid architecture is effective for diagnosing the benign or malignant nature of pulmonary space-occupying lesions and classifying pathological subtypes of lung cancer. Here, ENO2 is linked to adenocarcinoma.