跪求英文高手，翻譯下面三段話，如果采納可以再加分哦，關鍵是翻譯不能中式化

In recent years, image segmentation in medical image application plays an important role in. Using computer technique to quantitative analysis of cervical cells in cervical cancer and precancerous lesions of the aided diagnosis is of great significance. As a result of cervical smear making differences, cell overlap, cell sample noise and other reasons, makes the cell segmentation is very difficult.In this paper, on the basis of previous research results, using the maximum variance method, optimal histogram entropy method with genetic algorithm ( GA ) for cervical cell segmentation, and then the segmentation of cells after feature extraction, the final design based on Delphi cervical cancer cells showed characteristic system, visual display segmentation effect. This topic mainly involves three aspects: on cervical cell samples were pretreated, using adaptive maximum variance method, realization of cells and background. The gray image of the maximum entropy as the fitness function, image segmentation problem into an optimization problem. The use of genetic algorithm optimization efficiency, obtain the optimal threshold, thereby realizing the nucleus and cell segmentation; on this basis, the extraction contribute to cervical cancer assistant diagnosis of 20 features, including geometric and densitometric features; finally, taking Access as the database management system, using Delphi application development, design of cervical cancer cells feature display system. The system includes the information query, add new patients and report writing three modules.The experimental results show that, the segmentation effect is remarkable, especially the optimal histogram entropy method with genetic algorithm combined with traditional genetic algorithm, compared, not only improve the searching capability of the algorithm, but also greatly shorten the time for cell image segmentation threshold, and the effect is very good. Cervical cancer cell characteristics display system design can greatly reduce the labor intensity of the medical staff, thereby reducing the error rate for both diseases, cervical cell automatic analysis system for the development of the foundation.