HOG tabanlı YSA kullanılarak yağlı karaciğer tedavisindeki ilaç etkinliklerinin hesaplanması

In this work, healing effects of melatonin and resveratrol drugs on liver damage in rats, induced by application of acute and chronic carbon tetrachloride (CCl4) have been examined. The study consists of three main stages: 1) Data Acquisition: 60 rats have been separated into 10 groups. Except control groups other eight groups have been injected olive oil, CCL4 (make liver fatty), CCL4+Melatonin, CCL4+Resveratrol drugs regularly and 4 and 20 days after light microscope images of rats have been obtained from liver tissue.2) Data Processing: By the help of histograms of oriented gradient (HOG) method, obtaining low-dimensional image features (color and shape) and classifying 5 different group characteristics by using these features with artificial neural networks have been provided.3) Calculation of Drug Effectiveness: Firstly to determine the differences between group characteristics of rats, a pilot group has been selected (diseased group-CCl4), and responses of artificial neural networks trained by HOG features have been calculated.As a result, it has been seen that melatonin and resveratrol drugs have %65.62 -%75.12 positive effects at the end of the fourth day, %84.12-%98.89 positive effects on healing steatosis hepatis at the end of the twentieth day respectively.

Anahtar Kelimeler:

Yapay Sinir Ağları, HOG, Karaciğer Yağlanması, Melatonin, Resveratrol

Calculation of drug effectiveness on treatment of steatosis hepatis using HOG based ANN.

Keywords:

Artificial Neural Networks, HOG, Steatosis Hepatis, Melatonin, Resveratrol,

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