Accurate segmentation of cells in fluorescence microscopy images plays a key role in high-
throughput applications such as quantification of protein expression and the study of cell …

In this study, an effective means for detecting cancer region through different types of
medical image segmentation are presented and explained. We proposed a new method for …

The morphology of the nuclei represents most of the clinical pathological information, and
nuclei segmentation is a vital step in current automated histopathological image analysis …

The analysis of pathological images, such as cell counting and nuclear morphological
measurement, is an essential part in clinical histopathology researches. Due to the diversity …

The associations between various design variables affecting the visual performance of
responsive facade systems are investigated in this study. First, we propose a data-driven …

The associations between various design variables affecting the visual performance of
responsive facade systems are investigated in this study. First, we propose a data-driven …

In this study, a novel integration scheme for coupling the results of mean shift with initial
contours of the region-scalable fitting level set method (RSF model) is presented. There are …

Fluorescence microscopy image segmentation is a central task in high-throughput
applications such as protein expression quantification and cell function investigation. In this …

This paper proposes segmentation of brain tumour image of MRI images based on spatial
fuzzy clustering and level set algorithm. After performance evaluation of the proposed …

The segmentation performance is topic to suitable initialization and best configuration of
supervisory parameters. In medical image segmentation, the segmentation is very important …