TY - JOUR
T1 - Similarity measurement method for the classification of architecturally differentiated images
AU - Smith, Yoav
AU - Zajicek, Gershom
AU - Werman, Michael
AU - Pizov, Galina
AU - Sherman, Yoav
PY - 1999/2
Y1 - 1999/2
N2 - A similarity measurement method for the classification of architecturally differentiated image sections is described. The strength of the method is demonstrated by performing the complex task of assigning severity grading (Gleason grading) to histological slides of prostate cancer. As shown, all that is required to employ the method is a small set of preclassified images. The images can be real world images acquired by means of a camera, computer tomography, etc., or schematic drawings representing samples of different classes. The schematic option allows a quick test of the method for a particular classification problem.
AB - A similarity measurement method for the classification of architecturally differentiated image sections is described. The strength of the method is demonstrated by performing the complex task of assigning severity grading (Gleason grading) to histological slides of prostate cancer. As shown, all that is required to employ the method is a small set of preclassified images. The images can be real world images acquired by means of a camera, computer tomography, etc., or schematic drawings representing samples of different classes. The schematic option allows a quick test of the method for a particular classification problem.
UR - http://www.scopus.com/inward/record.url?scp=0032998809&partnerID=8YFLogxK
U2 - 10.1006/cbmr.1998.1500
DO - 10.1006/cbmr.1998.1500
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C2 - 10066352
AN - SCOPUS:0032998809
SN - 0010-4809
VL - 32
SP - 1
EP - 12
JO - Computers and Biomedical Research
JF - Computers and Biomedical Research
IS - 1
ER -
