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- W2945067598 abstract "Automatic detection and segmentation of bleeding on endoscopic images is an important task for use in clinical decision support systems, as well as in wireless capsule endoscopy. This can help to draw the physician's attention to a dangerous situation in time or reduce the length of the video sequence analyzed by the physician. The proposed method is based on block-based segmentation using local features, most of which are determined by color characteristics. Proposed method was tested on open database of endoscopic images KVASIR. Experiment shows that method can effectively perform block segmentation with an acceptable level of random and systematic error. The main advantages of the method are relatively low requirements for the size of a training database and high-speed performance." @default.
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- W2945067598 date "2019-04-01" @default.
- W2945067598 modified "2023-10-01" @default.
- W2945067598 title "Method of Endoscopic Images Analysis for Automatic Bleeding Detection and Segmentation" @default.
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- W2945067598 doi "https://doi.org/10.23919/fruct.2019.8711921" @default.
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