Study of Thin Layer Automatic Cell Production Machine in the Assisted Screening of Urothelial Carcinoma
Objective:In order to improve the screening efficiency and accuracy of urothelial carcinoma,an auxiliary screening system for urothelial carcinoma was designed based on artificial intelligence and pathological theory.Methods:In order to obtain high quality cytological images,a thin-layer automatic cell production machine was used to design a highly sensitive thin-layer cytological detection method for urine shedding.Based on this method,a self-supervised learning target detection algorithm for urothelial carcinoma was proposed.Results:Compared with the cell images obtained by traditional cytology methods,the cell images obtained by this method are clearer and easier to observe and analyze the structure of the nucleus and cytoplasm.The cells are arranged in a single layer and dispersed more evenly,with less overlapping.The cytological features are closer to their natural state,making it easier to observe the cell morphology and abnormal changes.Conclusion:This system can improve the efficiency of clinical pathologists in the task of auxiliary screening for urothelial carcinoma.
万方数据
维普
