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 proposes a novel integrated spatio‐colour‐texture based graph partitioning
method for segmentation of nuclear arrangement in tubules with a lumen or in solid islands …

The scoring of mitotic figures is an integrated part of the Bloom and Richardson system for
grading of invasive breast cancer. It is routinely done by pathologists by visual examination …

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

Histopathological grading of cancer not only offers an insight to the patients' prognosis but
also helps in making individual treatment plans. Mitosis counts in histopathological slides …

The combination of mass cytometry and immunohistochemistry (IHC) enables new
histopathological imaging methods in which dozens of proteins and protein modifications …

Automated image analysis of histopathology specimens could potentially provide support for
early detection and improved characterization of breast cancer. Automated segmentation of …

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 …

In this paper, we propose a statistical approach for mitosis detection in breast cancer
histological images. The proposed algorithm models the pixel intensities in mitotic and non …

Grading of breast cancer and the subsequent treatment options are largely dependent on
the pathological examination of the histology slides from the tumor tissue. Tumor grading is …