Image analysis in cancer pathology applications has evolved considerably in the last years
[1]. The areas concerned were particularly those in which the diagnosis was based on the …

The automatic recognition and classification of biomedical objects can enhance work
efficiency while identifying new inter-relationships among biological features, in this paper …

Manual screening of colorectal biopsy tissue under microscope to conform the presence of
cancerous cell is difficult and time consuming. The criteria in diagnosing colorectal cancer …

Diagnosis and cure of colon cancer can be improved by efficiently classifying the colon
tissue cells into normal and malignant classes. This paper presents the classification of …

Segmentation is an early stage for the automated classification of tissue cells between
normal and malignant types. We present an algorithm for unsupervised segmentation of …

Development of a computer-aided scheme will assist the physician by detecting
abnormalities of the colon by characterizing features of the segmented colonoscopic …

This paper proposed an automated system for grading of colorectal cancer using image
processing method. Almost, half a million people die every year due to colon cancer …

A novel algorithm to discriminate between normal and malignant tissue cells of the human
colon is presented. The microscopic level images of human colon tissue cells were acquired …

The authors are concerned with the segmentation of cytological images in order to
automatically classify cellular categories identified thanks to their nucleus. They deal with …

This paper addresses the development of an automatic segmentation technique for
detecting cell nuclei. The technique uses a new approach for segmenting nuclei in images …