Beschreibung
Histology is a critical tool in medicine and therefore automated histology analysis could have a profound effect on health-care quality, availability, and cost. At the same time, the field provides a host of fascinating signal processing challenges. Automated image segmentation for cell analysis is generally a difficult problem due to the large variability (different microscopes, stains, cell types, cell densities and complexity of the data (possibly time-lapse images, acquired at multiple wavelengths, using multiple microscopes, and containing large numbers of cells).
Autorenporträt
Deepa.T.P. currently working has Assistant Professor, Dept. of CSE, Acharya Institute of Technology,Bangalore. She is currently pursuing PhD in Medical image processing at VIT University, Vellore under the guidance of Dr.Nagaraja Rao,Associate Professor,VIT University. Her area of interest are Digital image processing, Brain signal processing
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
