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19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)
Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata
Salt Lake City, Utah
June 22-June 23
ISBN: 0-7695-2517-1
Petra Povalej, University of Maribor, Slovenia
Mateja Verli, University of Maribor, Slovenia
Peter Kokol, University of Maribor, Slovenia
Jos? L S?nchez, Universidad de La Laguna, Spain
Jos? F. Sigut, Universidad de La Laguna, Spain
We present the results of a supervised approach for identification of follicular lymphomas in microscopy images. A new feature extraction approach is presented. The proposed discriminative features intend to emphasize the distinction among pixels on follicle contour. Additionally those features are used for supervised learning using Classificational Cellular Automata (CCA) approach with the aim to obtain a general decision support model for classification of follicle contours on the microscopy images.
Citation:
Petra Povalej, Mateja Verli, Peter Kokol, Jos? L S?nchez, Jos? F. Sigut, "Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata," cbms, pp.309-314, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006
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