A Study of Lung Disease Using Image Processing in Big Data Environment

A In the medical field, Image dispensation techniques are extensively employed for image amelioration in finding and treatment of lung disease big data environment, where point time feature is very paramount to determine idiosyncrasy issues intention images, particularly such as cancer, pneumonia, COVID-19 etc, early detection stages lungs disease, processing technique widely used identification genetic well environmental factors important developing a novel method prevention. The core this research quality, time, precision dataset. modification evaluation quality depend on segmentation techniques, an improved area object that utilized rudimentary substructure extraction obtained comparison made relying feature. Medical images analyzed by different processing. dataset find patterns retrieve information from goal study discussed various analytics tools has been given tabular form provides comparative study. This minutiae specifically context images.