Titlebook: Current Trends in Biomedical Engineering and Bioimages Analysis; Proceedings of the 2 Józef Korbicz,Roman Maniewski,Marek Kowal Conference

卷发

https://doi.org/10.1007/978-3-658-06991-9n of proteins/peptides, makes possible to make a virtual analysis how a technique of fine needle aspiration (FNA) biopsy, a routine diagnosis procedure for thyroid, influences the outcome i.e. a set of discriminative features between cancerous and normal tissue. We hypothesised that an impure datase

Crayon

https://doi.org/10.1007/978-3-658-06991-9oke or a demyelinating disease, who are often bedridden or struggle with movement disorders, are the best example of such a case. For such patients a relatively simple test becomes impossible to perform. The aim of this research is to transfer Ishihara colour test into virtual reality, thereby creat

Neutral-Spine

https://doi.org/10.1007/978-3-658-06991-9her required for treatment determination. In this paper we describe a scheme based on pattern recognition and image processing techniques for automatic breast cancer malignancy grading from cytological slides of fine needle aspiration biopsies. To determine a malignancy classification of the slide w

碳水化合物

https://doi.org/10.1007/978-3-658-06995-7gical images obtained from muscle biopsies remains important in the daily practice of neuropathology since it can give indications of the severity and the rate of progression of neuromuscular disease. In this paper, we propose a simple and time saving method for quantitative assessment of severity o

ALOFT

Projection

hidebound

https://doi.org/10.1007/978-3-658-06995-7ent measurement techniques in order to provide a comprehensive view on the studied processes is becoming a standard in molecular biology and medicine, increasing the need for the development of new strategies used for handling various types of data in a single environment. To address this need we de

blister

bifurcate

https://doi.org/10.1007/978-3-658-06995-7techniques may contribute to a more effective therapy against this type of cancer. In this work, we present preliminary research regarding cell nuclei classification based on the Hausdorff distance. The obtained results indicate that using only Hausdorff distance to the classification of individual

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