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A novel method of muscular thickness measurement based on reflection echo from the boundary surface of different layer of target area using ultrasonic wave is presented. By exploring the traveling direction of ultrasonic wave at the interface of fat-muscle or muscle-fat, the difference of the generated reflection echo can be measured. In the proposed method, ultrasonic waves were irradiated to a biological...
In this paper, age estimation models introduced with automatic preprocessing of the T-1 weighted images, dimension reduction via principal component analysis, training of a multiple regression model, and then estimating the age of the subjects from the test samples. The regression model is automatically trained from a diverse set of 80 adult subjects (age 60–92 years) exhibiting significant variation...
The neonatal cerebral disorders severly languish the quality of life (QOL) of patients and also their families. It is required to detect and cure in their early stage for the sake of decreasing the degree of symptoms. However, it is difficult to evaluate neonatal brain disorders based on morphological analysis because the neonatal brain grows quickly and the brain development progress is different...
Cerebral atrophy treated as one of the common feature of many diseases that affect the brain. In general, atrophy means that all of the brain has shrunk or it can be regional, affecting a limited area of the brain which ends up resulting in neural decrease related to functions that area of brain controls. Detection of early brain atrophy can help physicians to detect the disease at curable stage....
The human brain atrophies with aging. By investigating the morphological change of brain structure and comparing with the deformation of normal aging, we can diagnose the cerebral diseases such as Alzheimer's diseases, Perkinson disease, etc. Magnetic resonance imaging (MRI) is a good diagnostic tool because it is non-invasive to the human body, and it can take the thin-sectional images with high...
Knowledge-based systems are advanced systems for representing complex problems that use artificial intelligence. They incorporate a database of expert knowledge designed to facilitate the knowledge retrieval in response to specific queries, along with learning. In this paper we present a knowledge based system designed to develop a semi-autonomous vehicle (Robot car) that can detect obstacle, generate...
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