Histological tissue section provides rich information about cellular structure. There are considerable amount of variations in cell structure, and cell organization that impede analysis of large histological dataset. This paper is a review of some recent state-of-art nucleus/cell segmentation approaches on different types of microscopic images. In the conventional diagnosis, pathologist analyze...

In this study, we used an efficient and simple technique for the automatic segmentation of nuclei of Leukocytes, which is not only accurate in the results but also fast as compared to other published algorithms. Leukemia is a blood cancer and has several types but all types begin from the cells in the bone marrow. Hematology, the study of blood is an important step for the diagnosis of various ...

Recent work shows that diffusion tensor imaging (DTI) can help resolving thalamic nuclei based on the characteristic fiber orientation of the corticothalamic/thalamocortical striations within each nucleus. In this paper we describe a novel segmentation method based on spectral clustering. We use Markovian relaxation to handle spatial information in a natural way, and we explicitly minimize the ...

OBJECTIVES Fractal geometry is a tool used to characterize irregularly shaped and complex figures. It can be used not only to generate biological structures (e.g., the human renal artery tree), but also to derive parameters such as the fractal dimension in order to quantify the shapes of structures. As such, it allows user-independent evaluation and does not rely on the experience level of the ...

The amygdala plays an important role in emotional and social functions, and amygdala dysfunction has been associated with multiple neuropsychiatric disorders, including autism, anxiety, and depression. Although the amygdala is composed of multiple anatomically and functionally distinct nuclei, typical structural magnetic resonance imaging (MRI) sequences are unable to discern them. Thus, functi...

This paper describes an image analysis technique for automated estimation of the percentages of epithelium and stroma in (tumor) tissue. The program is evaluated on ovarian tumors of the serous, mucinous, and endometrioid type. From standard paraffin sections, stained with pararosanilin Feulgen and naphthol yellow, a blue-yellow image pair was recorded. The blue image was used for the determina...

In this work, we propose an automated approach able to perform accurate nuclear segmentation in immunohistochemical breast tissue images in order to provide quantitative evaluation of estrogen or progesterone receptor status that will help pathologists in their diagnosis. The presented method is based on color deconvolution and an enhanced morphological processing, which is used to identify pos...

We describe the application of an active appearance model (AAM) based method to segmentation of the caudate nuclei. A “composite” 3D profile AAM was constructed from the surfaces of 15 subcortical structures using a training set of 50 subjects, and individual AAMs of the left and right caudate constructed from 227 subjects. Segmentation starts with affine registration to initialise the composit...

We address the problem of cell segmentation in confocal microscopy membrane volumes of the ascidian Ciona used in the study of morphogenesis. The primary challenges are non-uniform and patchy membrane staining and faint spurious boundaries from other organelles (e.g. nuclei). Traditional segmentation methods incorrectly attach to faint boundaries producing spurious edges. To address this proble...