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چکیده
This research introduces novel methods for proteomics image analysis and processing. The main challenges in such images are the inhomogeneity of the background, the complex regions containing overlapping spots as well as the dynamic range of proteins concentration resulting to saturated and faint spots. State-of-the-art software packages are dominant in proteome analysis. Nonetheless, they are highly parametric and demonstrate a notable output variance. The proposed methods exploit the attractive properties of active contours and mathematical morphology.
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A Fuzzy Approach for Projects Evaluation and Selection an Iranian Auto Manufacturer Case Study
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