To you explain the data a little more? Bill Shannon
"Audette, Michel" <[EMAIL PROTECTED]> wrote: Dear all, I am interested in implemented a semi-supervised clustering method, i.e.: making use of a small set of training points, to classify tissues of the head visible in CT data. I would like not only to use CT intensity as a feature, but a measure of sheet-like structure that correlates with thin bone, and may assist the detection of thin bone structures that are otherwise undiscernible from soft tissue, due to partial volume effects that blurr intensities together. However, this latter feature, sheetness, produces a null value for most tissue classes. Can anyone suggest a means of integrating two features together, CT and sheetness, in a clustering algorithm, given that one of them appears null for several classes? Best regards, Michel Audette, Ph.D. Innovation Center Computer Assisted Surgery (ICCAS) Philipp-Rosenthal-Strasse 55 Leipzig, Germany Phone: ++49 (0) 341 / 97 - 1 20 13 Fax: ++49 (0) 341 / 97 - 1 20 09 ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l ---------------------------------------------- CLASS-L list. Instructions: http://www.classification-society.org/csna/lists.html#class-l
