<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://www.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>

COPY SCRIPT

For further information contact us at helpdesk@openaire.eu

Image processing in pathology

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 1978Publisher:Elsevier BVJournal:Experimentelle Pathologie, volume 16, pages 186-193 (issn: 0014-4908,

Authors: W.R. Herrmann; K. Voss; K.D. Kunze;

doi: 10.1016/s0014-4908(78)80021-0

pmid: 363440

Image processing in pathology

- Summary
- Subjects
- Metrics

Abstract

The present study is an effort to ally biopsies to well defined groups of diseases by means of automatic analysis of liver cell nuclei. The results obtained should support the morphologic differential diagnosis of liver diseases. A total of 78 liver biopsies from patients with obstructive jaundice, chronic hepatitis, acute viral hepatitis or with alcoholic liver injury were investigated. Performing automatic analysis of the microscopic pictures 95% of the equatorial sectioned liver cell nuclei are correctly recognized.

Keywords

Cell Nucleus, Diagnosis, Differential, Cholestasis, Hepatitis, Viral, Human, Hepatitis, Alcoholic, Liver Diseases, Humans, Diagnosis, Computer-Assisted, Hepatitis

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	13
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average