Quantitative evaluation of the performance of segmentation algorithms on medical images is crucial before their clinical use can be considered. We have quantitatively compared the contours obtained by a pulmonary segmentation algorithm to contours manually-drawn by six expert imaiologists on the same set of images, since the ground truth is unknown. Two types of variability (inter-observer and ...

A software tool is presented to merge CDMAM phantom images with real mammographic backgrounds. It allows SKE tasks in uniform and in real backgrounds. This kind of tasks can be used to compare human, human visual metric or model observer performance in detail detection using uniform or mammographic backgrounds. As it is very well known, local characteristics of the structures in real mammograph...

The paper presents an observer-based estimation of sensor fault for control systems affected by friction force. In such systems, the non-linearity force leads to deteriorating capability observer. Hence, challenge is design observer capable attaining robust while avoiding effects friction. To overcome highlighted challenge, Unknown Input Observer (UIO) designed decouple as well estimate state a...

By analyzing human readers’ performance in detecting small round lesions in simulated digital breast tomosynthesis background in a location known exactly scenario, we have developed a model observer that is a better predictor of human performance with different levels of background complexity (i.e., anatomical and quantum noise). Our analysis indicates that human observers perform a lesion dete...

In this paper we extend previous control design applied to an electropneumatic clutch actuator. A dual-mode switched nonlinear controller design and an adaptive nonlinear observer design are combined to achieve position control of the clutch actuator with only position measurements available. The observer provides estimates of position, velocity, chamber pressures, friction state and parameters...

Abstract: Performance control law is studied for an interconnected fractional nonlinear system. Applying a backstepping algorithm, a backstepping sliding mode controller (BSMC) is developed for fractional nonlinear system. To improve control law performance, BSMC is coupled to an adaptive sliding mode observer have a filtered error as a sliding surface. The both architecture performance is stud...

Neurons within cortical populations often evidence some degree of response correlation. Correlation has generally been regarded as detrimental to the decoding performance of a theoretical vector-averaging observer making inferences about the physical world-for example, an observer estimating the location of a sound source. However, if an alternative decoder is considered, in this case a Maximum...

The state estimation of a quantized system (Q.S.) is a challenging problem for designing feedback control and model-based fault diagnosis algorithms. The core of a Q.S. is a continuous variable system whose inputs and outputs are represented by their corresponding quantized values. This paper concerns with state estimation of a Q.S. by a qualitative observer. The presented observer in this pape...

We have previously described how imaging systems and image reconstruction algorithms can be evaluated on the basis of how well bina~-~sc~nation tasks can be performed by a machine algorithm that “views” the reconstructions.1-3 Algorithms used in these investigations have been based on approximations to the ideal observer of Bayesian statistical decision theory. The present work exa ‘nes the per...