Detection of Cardiac Tumors Using Parallel Computing

Abstract

Cardiac tumors are uncontrolled bursts of tissues and cells in the heart. The heart is composed of several different tissues, cells, or valves as well as neurons and these neurons, tissues, cells, or valves are prone to heart actions. Usually, the heart, or Cardiac, only makes new tissues, cells or valves when old or damaged ones need to be replaced. If the growth is out of control for any reason, the cells or valves will continue to separate, causing an inflammation called a tumor. Cardiac tumors can happen at any age, but most of them happen between the ages of 55 and 65 in adults and between 3 and 12 in kids. Cancer treatment has been a major research area of medical researchers for several decades; however, the development of new treatments takes time and money. The utilization of computer technology in therapeutic resolution support is currently extensive and invasive across a large range of medicinal region for instance, cancer research, Cardiac tumors, gastroenterology etc. MRI is the feasible alternative nowadays for the study of tumor in soft tissues. Parallel computing is a computation form in which numerous computations are carried out in parallelism manner, running on the concept that huge issues can repeatedly be divided into slighter ones that are resolved at the similar point.

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