Bio-medical Ontologies Maintenance and Change Management
Bio-medical Ontologies Maintenance and Change Management
Bio-medical Ontologies Maintenance and Change Management
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Multimedia Medical Databases 139<br />
68. Müller, H., Marquis, S., Cohen, G., Poletti, P.A., Lovis, C.L., Geissbuhler, A.: Automatic<br />
abnormal region detection in lung CT images for visual retrieval. In: Swiss<br />
Medical Informatics, vol. 57, pp. 2–6 (2005)<br />
69. Muller, H., Rosset, A., Garcia, A., Vallee, J.P., Geissbuhler, A.: Benefits of Contentbased<br />
Visual Data Access in Radiology. Radio Graphics 25, 849–858 (2005)<br />
70. Müller, H., Geissbühler, A.: Report on the ImageCLEF Experiment: How to visually<br />
retrieval images from the St. Andrews collection using medGIFT. In: Peters, C.,<br />
Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds.) CLEF 2004.<br />
LNCS, vol. 3491, pp. 633–642. Springer, Heidelberg (2005)<br />
71. Müller, H., Gass, T., Geissbühler, A.: Image Classification with a Frequency-based<br />
Information Retrieval Schema for ImageCLEF. In: Peters, C., Clough, P., Gey, F.C.,<br />
Karlgren, J., Magnini, B., Oard, D.W., de Rijke, M., Stempfhuber, M. (eds.) CLEF<br />
2006. LNCS, vol. 4730, pp. 638–643. Springer, Heidelberg (2007)<br />
72. Ojala, T., Pietikainen, M., Harwood, D.: A comparative study of texture measures<br />
with classification based on feature distributions. Pattern Recognition 29(1), 51–59<br />
(1996)<br />
73. Oracle (2005), Oracle InterMedia: Managing Multimedia Content,<br />
http://www.oracle.com/technology/products/intermedia/<br />
pdf/10gr2_collateral/imedia_twp_10gr2.pdf<br />
74. Palm, C., Keysers, D., Lehmann, T., Spitzer, K.: Gabor Filtering of Complex<br />
Hue/Saturation Images For Color Texture Classification. In: Proc. 5th Joint Conference<br />
on information Science (JCIS 2000) vol. 2, Atlantic City, USA, pp. 45–49<br />
(2000)<br />
75. Pentl<strong>and</strong>, A.P.: Fractal-based description of natural scenes. PAMI 6(6), 661–674<br />
(1984)<br />
76. Pham, D.L., Xu, C., Prince, J.L.: Current methods in <strong>medical</strong> image segmentation.<br />
Annual Review of <strong>Bio</strong><strong>medical</strong> Engineering 2, 315–337 (2000)<br />
77. Purdue University. Content-based Image Retrieval from Large Medical Image Databases,<br />
http://cobweb.ecn.purdue.edu/RVL/Projects/CBIR/index.htm<br />
78. RSNA, DICOM a Non-Technical Introduction to DICOM (2007),<br />
http://www.rsna.org/Technology/DICOM/intro/index.html<br />
79. Qin, H.: An Evaluation on MARS-an Image Indexing <strong>and</strong> Retrieval System. Graduate<br />
School of Library <strong>and</strong> Information Science, University of Illinois at Urbana-<br />
Champaign (1997)<br />
80. Sebe, N., Lew, M.: Color-based retrieval. Pattern Recognition Letters 22, 223–230<br />
(2001)<br />
81. Segmentation (2007),<br />
http://en.wikipedia.org/wiki/Segmentation_image_processing<br />
82. Shyu, C., Brodley, C.E., Kak, A.C., Kosaka, A.: ASSERT: A Physician-in-the-Loop<br />
Content-Based Retrieval System for HRCT Image Databases. Computer Vision <strong>and</strong><br />
Image Underst<strong>and</strong>ing 75, 111–132 (1999)<br />
83. Smith, J.R., Chang, S.F.: Local Color <strong>and</strong> Texture Extraction <strong>and</strong> Spatial Query. In:<br />
IEEE International Conference on Image Processing, vol. 3, pp. 1011–1014 (1996),<br />
ISBN: 0-7803-3259-8<br />
84. Smith, J.R., Chang, S.F.: Tools <strong>and</strong> Techniques for Color Image Retrieval. In: Symposium<br />
on Electronic Imaging: Science <strong>and</strong> Technology - Storage & Retrieval for Image<br />
<strong>and</strong> Video Databases IV, San Jose, CA, vol. 2670. IS&T/SPIE (1996)