A two-step Convolutional Neural Network based Computer-aided detection scheme for automatically segmenting adipose tissue volume depicting on CT images

Abdominal obesity is one of the most prevalent public health problems and over one third of adults were obese in the United States in recent years [1]. Obesity is strongly associated with many different diseases such as heart diseases, metabolic disorders, type 2 diabetes and certain types of cancers [1 –3]. Inside a human body, there are subcutaneous fat areas (SFA) and visceral fat areas (VFA), which both contribute to the abdominal obesity. Studies have shown that in the clinical practice separate measurement or quantification of subtypes of adipose tissue in SFA and VFA is crucial for obesity assessment since visceral fat is more closely related to risk factors for hypertension, coronary artery disease, metabolic syndrome, and etc.
Source: Computer Methods and Programs in Biomedicine - Category: Bioinformatics Authors: Source Type: research