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Content available remote Nawierzchnie sportowe z darni syntetycznej
EN
Examination of a large number of microscopic preparations as well as carrying out clinical and screening tests can be done only with the help of acquisition of images in the process of automatic scanning of microscopic preparations. However, the time of precise scanning performed field by field is very long when using big enlargements of the microscope. At the same time, an accurate specimen inspection is necessary when we analyse smears, searching for rear events. An application, developed by the authors, for performing fast and exact scanning is presented. Possibility to combine speed with precision was achieved due to the evaluating contents of the scene by the analysis of a live camera signal and quick microscopic stage movement when empty smear regions were encountered. Many technical problems had to be solved, trying to implement this idea. The application was developed in Borland C++ Builder and Delphi environment and is intended for Windows based systems. The paper presents in details some common problems related to automatic scanning in screening projects.
EN
The objective of this work is a new approach to computer-based analysis of Feulgen-stained urinary bladder cell nuclei to identify neoplastic nuclei. 56 patients were taken under consideration. Among them 20 cases were controls and 36 cases were cancer of two grades of malignancy. The cytological smears were obtained by "bladder washing" technique. Image analysis was carried out by means of digital image processing system designed by the authors. At the first step of the process slides were automatically scanned and 80 images were registered. Then image processing began performing image normalization, objects (nuclei) extraction and measuring of features describing nuclei. A multistage classifier was constructed to identify positive and negative cases. The results of this study yielded a 90% correct classification rate in the control group, while an 80,5% rate was obtained among the cancer patients. The sensitivity of the method was 91% and the specificity was 84%.
EN
The paper introduces DIPS (Digital Images Procesing System), a new, original software package, developed to meet specific requirements of image analysis in scientific environment. Without gooing deeply into programming details, key features of the system are highlighted: flexibility when designing new picture processing schemes and simplicity when performing routine tasks.
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