In mammography diagnosis systems, high False Negative Rate (FNR) has always been a
significant problem since a false negative answer may lead to a patient's death. This paper is …

Classification of breast abnormalities such as masses is a challenging task for radiologists.
Computer-aided Diagnosis (CADx) technology may enhance the performance of radiologists …

Multifocal plane microscopy (MUM) has made it possible to study subcellular dynamics in 3D
at high temporal and spatial resolution by simultaneously imaging distinct planes within the …

Fluorescence microscopy is a photon-limited imaging modality that allows the study of
subcellular objects and processes with high specificity. The best possible accuracy (standard …

Despite promise for the use of antibodies as molecular imaging agents in PET, their long in
vivo half-lives result in poor contrast and radiation damage to normal tissue. This study …

Single-molecule microscopy is a relatively new optical microscopy technique that allows the
detection of individual molecules such as proteins in a cellular context. This technique has …

This paper presents an optimisation model for polymer electrolyte membrane fuel cell system
based on simultaneous power maximisation and cost minimisation. The results show that, …

In this paper, a novel opposition-based classifier has been developed which classifies breast
masses into benign and malignant categories. An MLP network with a novel learning rule, …

In this paper, a novel CADx system has been proposed for the diagnosis of masses in
mammography images. The objective is intensifying the performance of CADx algorithms as well …

In this paper, a novel group of features have been introduced for diagnosing the masses in
mammography images. The goal is increasing the performance of CADx algorithms as well …