Medical image segmentation and retrieval via deformable models Export

@inproceedings{citeulike:3576132, 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}, author = {Liu, Lifeng and Sclaroff, S.}, booktitle = {Image Processing, 2001. Proceedings. 2001 International Conference on}, citeulike-article-id = {3576132}, citeulike-linkout-0 = {http://dx.doi.org/10.1109/ICIP.2001.958312}, citeulike-linkout-1 = {http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=958312}, doi = {10.1109/ICIP.2001.958312}, journal = {Image Processing, 2001. Proceedings. 2001 International Conference on}, keywords = {chapter, s-collected, t-imaging, t-retrieval}, pages = {1071--1074 vol.3}, posted-at = {2008-11-19 01:58:14}, priority = {2}, title = {Medical image segmentation and retrieval via deformable models}, url = {http://dx.doi.org/10.1109/ICIP.2001.958312}, volume = {3}, year = {2001} }

TY - CONF ID - citeulike:3576132 L3 - citeulike-article-id:3576132 N2 - 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 JF - Image Processing, 2001. Proceedings. 2001 International Conference on EP - 1074 vol.3 TI - Medical image segmentation and retrieval via deformable models VL - 3 T2 - Image Processing, 2001. Proceedings. 2001 International Conference on SP - 1071 KW - chapter KW - s-collected KW - t-imaging KW - t-retrieval AU - Liu, Lifeng AU - Sclaroff, S PY - 2001/// UR - http://dx.doi.org/10.1109/ICIP.2001.958312 ER -