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- W1908889904 abstract "A new method based on deformable shape models for medical image segmentation is described. Experiments for blood cell micrographs have been conducted to verify the accuracy of the shape model-based segmentation and object shape description method. The cell segmentation method does not require user input for initialization. Coherence information between cells is utilized via a globally consistent cost function. The proposed segmentation method can be used in automated analysis for images of stained blood smear and segmentation of other medical structures. A method for shape population-based retrieval is also described. Results of population-based image queries for a database of blood cell micrographs are shown." @default.
- W1908889904 created "2016-06-24" @default.
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- W1908889904 date "2002-11-13" @default.
- W1908889904 modified "2023-09-26" @default.
- W1908889904 title "Medical image segmentation and retrieval via deformable models" @default.
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- W1908889904 doi "https://doi.org/10.1109/icip.2001.958312" @default.
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