Affiliation:
1. School of Engineering and Applied Sciences, Nanjing University, Jiangsu, China.
Abstract
Over the past century, scientific advances in diagnostic devices have offered new potential for noninvasive diagnoses and entrenched computed tomography as a critical component of today's health services. The multidisciplinary field of health image analysis is one of the key areas of innovation that represents these achievements. This area of rapid growth deals with a wide range of operations that support the whole data flow in current health monitoring systems (from raw data capture through digital image transfer). These technologies now have better spatial and luminance resolutions, as well as quicker collection periods, resulting in a large volume of high critical image files that must be appropriately processed and evaluated in order to provide reliable diagnostics findings. This article examines the core kinds of clinical image analysis, as well as the background of various imaging technologies and the major difficulties and developments in the field.