Showing papers by "Dorin Comaniciu published in 1998"
19 Oct 1998
TL;DR: The prototype of an image understanding based system to support decision making in clinical pathology is demonstrated, employing all four major low level vision queues in content-based retrieval of visual information.
Abstract: The prototype of a system to assist the physicians in differential diagnosis of lymphoproliferative disorders of blood cells from digitized specimens is presented. The user selects the region of interest (ROI) in the image which is then analyzed with a fast, robust color segmenter. Queries in a database of validated cases can be formulated in terms of shape (similarity invariant Fourier descriptors), texture (multiresolution simultaneous autoregressive model), color (L*u*/spl upsi/* space), and area, derived from the delineated ROI. The uncertainty of the segmentation process (obtained through a numerical method) determines the accuracy of shape description (number of Fourier harmonics). Ten-fold cross-validated classification over a database of 261 color 640/spl times/480 images was implemented to assess the system performance. The ground truth was obtained through immunophenotyping by flow cytometry. To provide a natural man-machine interface, most input commands are bimodal: either using the mouse or by voice. A speech synthesizer provides feedback to the user. All the employed computational modules are context independent and thus the same system can be used in a large variety of application domains.
42 citations
16 Aug 1998
TL;DR: A prototype system performing analysis, indexing and retrieval of pathology images to assist physicians in differential diagnosis of lymphoproliferative disorders is presented and robust color segmentation is used to automatically analyse regions of interest in images of leukocytes.
Abstract: A prototype system performing analysis, indexing and retrieval of pathology images to assist physicians in differential diagnosis of lymphoproliferative disorders is presented. Robust color segmentation is used to automatically analyse regions of interest in images of leukocytes. The shape of leukocyte nuclei, described through similarity invariant shape descriptors, represents the main attribute in the search query. Monte Carlo tests for stability and goal-directed evaluations of the system performance are also shown.
29 citations
TL;DR: A practical approach to nonparametric cluster analysis of large data sets is presented, allowing the cluster decomposition of a 10000 point data set in only a few seconds.
Abstract: A practical approach to nonparametric cluster analysis of large data sets is presented. The number of clusters and the cluster centers are derived by applying the mean shift procedure on a reduced set of points randomly selected from the data. The cluster boundaries are delineated using a k-nearest neighbor technique. The resulting algorithm is stable and efficient, allowing the cluster decomposition of a 10000 point data set in only a few seconds. Complex clustering examples and applications are discussed.
15 citations
01 Jan 1998
TL;DR: The prototype of a system to assist the physicians in differential diagnosis of lymphoproliferative disorders of blood cells from digitized specimens is presented and all the employed computational modules are context independent and thus the same system can be used in a large variety of application domains.
Abstract: The prototype of a system to assist the physicians in differential diagnosis of lymphoproliferative disorders of blood cells from digitized specimens is presented. The user selects the region of interest (ROI) in the image which is then analyzed with a fast, robust color segmentel: Queries in a database of validated cases can be formulated in terms of shape (similarity invariant Fourier descriptors), texture (multiresolution simultaneous autoregressive model), color (L*u*v* space), and area, derived from the delineated ROI. The uncertainty of the segmentation process (obtained through a numerical method) determines the accuracy of shape description (number of Fourier harmonics). Tenfold cross-validated classification over a database of 261 color 640 x 480 images was implemented to assess the system performance. The ground truth was obtained through immunophenotjping by flow cytomety. To provide a natural man-machine interface, most input commands are bimodal: either using the mouse or by voice. A speech synthesizerprovides feedback to the user: All the employed computational modules are context independent and thus the same system can be used in a large variety of application domains.