جستجوی مقالات مرتبط با کلیدواژه « کبد » در نشریات گروه « بیوتکنولوژی و ژنتیک گیاهی »

The purpose of the present study is to segment the CT images of the liver with radiology based on the watershed algorithm.

In this study, a semi-automated method for dividing liver tumors using CT scan images has been presented. First, the tumor and liver tissue is determined by the user with point selection. Then, with the help of Abpakhshan method, the three-dimensional morphology of the primary points in the tumor and liver are determined. Then, estimation of tumor and liver tissue labels is done with the method of propagation of dependent constraints. By taking the distance between the obtained labels, the tumor boundary is obtained, and finally, the final boundaries of the tumor are determined by using the edge detector.

Changes in the number of initial points have little effect on the output results. In the CAP method, considering that the data estimation is done using the sampled points and estimates around these points, with any number of initial samples, the CAP method is able to produce the final results, which shows the high power of the CAP method in It is an estimate of the data.

The use of the watershed algorithm improves the segmentation of CT images of the liver with radiology.

The understanding of fundamental immune indicators, especially T-lymphocyte parameters, is crucial for research into sheep diseases and vaccines, as well as to reduce antibiotic usage and improve sheep welfare. CD8 (gene encoding beta chain of T-cell surface glycoprotein) is a co-receptor molecule expressed on the surface of Cytotoxic T cells. Due to the role and importance of this gene in the immune system, this gene's expression was examined in different Kermani sheep tissues. Samples were taken from the spleen, liver, and heart of three Kermani lambs with almost the same weight at slaughter. Total RNA was extracted and cDNA was synthesized. Real-Time PCR using Syber Green was applied for estimating gene expression levels. Beta-actin gene was used as an internal control. For analyzing Real-Time PCR data, Prism software, ΔΔCT method was used. The results showed that CD8B was expressed in all three tissues, with more expression in the liver (18.06) and spleen (16.28) and less expression in the heart (1.94). There was a significant difference (P<0.05) between all tissues. Expression in the liver and spleen tissue was significantly higher than in heart tissue (P<0.001). While CD8B expression was higher in immune-related tissues, there were significant differences in all tissues. Thus, by conducting supplementary experiments and understanding its mechanisms, we can find out why animals exhibit different levels of expression and use this variation to enhance animal performance.