Title :
Identifying Lymphoma in Microscopy Images with Classificational Cellular Automata
Author :
Povalej, Petra ; Verlic, M. ; Kokol, Peter ; Sánchez, José L. ; Sigut, José F.
Author_Institution :
Laboratory for Syst. Design, Maribor Univ.
Abstract :
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
Keywords :
biomedical optical imaging; cancer; cellular automata; decision support systems; feature extraction; image classification; learning (artificial intelligence); medical image processing; classificational cellular automata; feature extraction; follicle contour; follicular lymphomas; general decision support model; microscopy images; supervised learning; Automata; Brightness; Cancer; Density measurement; Feature extraction; Laboratories; Lymphatic system; Microscopy; Pixel; Supervised learning;
Conference_Titel :
Computer-Based Medical Systems, 2006. CBMS 2006. 19th IEEE International Symposium on
Conference_Location :
Salt Lake City, UT
Print_ISBN :
0-7695-2517-1
DOI :
10.1109/CBMS.2006.97
