A Review on Application of Image Processing in Thyroid Cancer

Abstract

The image processing plays a significant role in the early detection and diagnosis of thyroid cancer. Many researchers are trying to develop and implement image-processing models for cancer detection. This article reviews and discusses the literature on image processing and thyroid cancer. The bibliometric and structured literature review methods assess the existing literature. The study indicates that the prevalence of thyroid cancer has been increasing in recent years. Numerous factors, such as raised detection through screening programs, changes in investigative criteria, and environmental and lifestyle aspects, have contributed to this trend. Furthermore, the literature finds various diagnostic and treatment methods available for patients with thyroid cancer, as well as the difficulties associated with overdiagnosis and overtreatment. Furthermore, the role of image processing techniques in the analysis and diagnosis of thyroid cancer focuses on their possible advantages and disadvantages.