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
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.97
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 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||