Image Fusion to Improve Assessment and Detection of Early Stage of Lung Cancer using Machine Learning Iot

Abstract

Image fusion is employed to strengthen the standard of images by combining two images of same scene obtained from different techniques. In diagnosis by combining the photographs obtained by computed tomography (CT) scan and Resonance Imaging (MRI) we get more information and extra data from fused image. The Machine Learning (ML) is that the quantitative technique for classifying various stages and early stage of carcinoma . The classification results are stored within the cloud using IoT for every patient with security and preservation of patient information. during this system the image is segmented into bands using HMT, the segmented image is then fused into sub bands using curvelet transform which breaks the bands into overlapping tiles.