Abstract-The task of statistical data extraction from photo images of biomedical objects is important in biomedical diagnostics. For example, the analysis of photographic images of aortic valve taken after surgical operation can be used for further medical research. In this case, it is important to define the percentile correlation between the pathological and the macroscopically unchanged tissue. In this work, authors implement different methods for extracting the statistical data from images. The experimental results show the efficiency of the selected methods.
event rate (OR 0.60, 95%CrI 0.37-0.95) and hospital stay (MD-7.50 days, 95%CrI-14.40,-0.78). There was no evidence of differences in other outcomes (serious adverse event proportion, total adverse event proportion, requirement for endoscopic or radiological drainage of abdominal collection and costs) in the trials that reported these. Conclusion: Based on low-quality evidence, glutamine supplementation decreases mortality, serious and total adverse event rate, sepsis, and ITU stay, while PUFA supplementation decreases severe adverse event rate and hospital stay when compared to no supplementation.
lesion in the pancreatic body with specimen histology confirming type 2 AIP. A total of three patients began and responded well to steroid and/or other immunosuppressant therapy. None of the patients have experienced relapse in their disease post-medical or surgical management at 6-24 months follow-up. Conclusions: The epidemiology of type 2 autoimmune pancreatitis is distinctly different to the more sinister pathologies that it may mimic. Clinicians must be aware of this fact in their approach to the serum IgG4-negative patient with recurrent pancreatitis, particularly in the young, female demographic and in the presence of co-existing IBD. There is value in diagnostic rubrics in distinguishing this disease.
-The statistical data of biomedical object is very important input information for medical diagnostics or/and anatomical pathology research. The approach for this data extraction is photo survey of biomedicine object and next image processing, based on image segmentation. For image segmentation methods of pattern recognition can be used. In the present research, the authors implement different methods for extracting the statistical data from images. The experimental results show the efficiency of the selected methods and proposed modification.
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