We propose a framework of graph-based tools for the segmentation of microscopic cellular
images. This framework is based on an object oriented analysis of imaging problems in …

The histopathological examination of tissue specimens is essential for cancer diagnosis and
grading. However, this examination is subject to a considerable amount of observer …

In this paper, we present a graph-based multi-resolution approach for mitosis extraction in
breast cancer histological whole slide images. The proposed segmentation uses a multi …

This paper addresses the problem of segmenting an image into regions. We define a
predicate for measuring the evidence for a boundary between two regions using a graph …

Medical imaging is one of the most active research topics in image analysis. Analyzing and
segmenting medical images in a clinical context remains a challenging task due to the …

The basic principle of graph-based approaches for image segmentation is to interpret an
image as a graph, where the nodes of the graph represent 2D pixels or 3D voxels of the …

The authors use partial-differential-equation-based filtering as a preprocessing and post
processing strategy for computer-aided cytology. They wish to accurately extract and classify …

Image processing methods (segmentation) are presented in connection with a modeling of
image structure. An image is represented as a set of primitives, characterized by their type …

Biomedical cell image analysis is one of the main application fields of computerized image
analysis. This paper outlines the field and the different analysis steps related to it. Relative …

This paper addresses the problem of segmenting an image into regions. We develop a
framework for image segmentation based on the intuition that there should be evidence for a …