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Authors: Viktor Zoltan Jonas Miklos Kozlovszky Bela Molnar
Publish Date: 2015/4/13
Volume: , Issue: , Pages: 231-238
Abstract
Cancer research and diagnostics is an important frontier to apply the power of computers Researchers use image processing techniques for a few years now but diagnostics only start to explore its possibilities Pathologists specialized in this area usually diagnose by visual inspection typically through a microscope or more recently on a computer screen They examine at tissue specimen or a sample consisting of a population cells extracted from it The latter area is the area of cytometry that researchers started to support by creating image processing algorithms The validation of an image processing approach like that is an expensive task both financially and timewise This paper aims to show a semiautomatized method to simplify this task by reducing the amount of human interaction necessary
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