Early Detection of ILD using Fusion Techniques

In this work, interstitial lung disease (ILD) is an umbrella term used for a large group of diseases that cause scarring (fibrosis) of the lungs. There are four The broad categories of ILDs are nodules, idiopathic pulmonary fibrosis (IPF), Sarcoidosis and honeycomb Early detection of these ILDs can be made by using some of the image fusion techniques based on wavelet transform image fusion and IHS transform-based image fusion Wavelet transforms are mathematical tools for analyzing data where features vary over different scales for images, features include edges and textures. The IHS sharpening technique is one of the most commonly used techniques for sharpening. Different transformations have been developed to transfer a color image from the RGB space to the IHS space.

Keywords: Triple Riding Without Helmet, Detection, and Machine Learning the random forest algorithm