Abstract
Aim of this paper is to build Automated Diagnostics System of infectious lung by using the concept of image processing in conjunction with machine learning. Proposed system will detect human breathe in a real-time fashion to evaluate the ideal state of the aspiratory phase of a breath. So as, to define a proper timing of CT scan trigger and to use preprocessing technique that will remove the noise. Post this, feature extraction method is applied to extract the helpful options of underlying image, and feature selection technique will further optimize the top ranking features. SVM algorithm is then applied to classify the images for detection of lung disease.This diagnostic system will detect diseases like: asthma, bronchiectasis, lung cancer, hanta virus, and pneumonia. disease by using SVM. After detection of disease, report will be generated and submitted to patient.
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