Deep-Learning Framework to Detect Lung Abnormality – A study with Chest X-Ray and Lung CT Scan Images

•This work proposes a Modified AlexNet (MAN) deep-learning framework to evaluate the lung abnormality.•This work introduces a threshold filter to remove the artifacts from the Lung CT images.•This work introduces an Ensemble-Feature-Technique (EFT) by integrating the deep-features and the handcrafted features.•Serial fusion and PCA based selection is implemented in EFT to chose principal feature set.•Experimental results demonstrate superior performance of MAN in comparison with other existing state of the art methods.