Segmenting and classifying lung diseases with M-Segnet and Hybrid Squeezenet-CNN architecture on CT images
Syed Mohammed Shafi,
Sathiya Kumar Chinnappan
Abstract:Diagnosing lung diseases accurately and promptly is essential for effectively managing this significant public health challenge on a global scale. This paper introduces a new framework called Modified Segnet-based Lung Disease Segmentation and Severity Classification (MSLDSSC). The MSLDSSC model comprises four phases: "preprocessing, segmentation, feature extraction, and classification." Initially, the input image undergoes preprocessing using an improved Wiener filter technique. This technique estimates the p… Show more
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