Title :
Classification of breast tumors via parabolic modeling of their contours
Author :
Menut, Olivier ; Rangayyan, Rangaraj M. ; Desautels, J. E Leo
Abstract :
The discrimination between malignant tumors and benign masses in mammograms can be difficult because of the diversity of tumor shape. In order to facilitate this discrimination, we propose a method of shape analysis based only on characterization of the boundaries of the tumors via parabolic modeling. The contours used were drawn (using XPAINT) on digitized mammograms by an expert radiologist (JELD). The classification of 54 tumors as benign or malignant was achieved with an accuracy of 76 percent
Keywords :
diagnostic radiography; image classification; medical expert systems; medical image processing; JELD; XPAINT; benign masses; breast tumors classification; cancer; classification accuracy; expert radiologist; malignant tumors; mammograms; parabolic modeling; shape analysis; tumor shape; tumour boundaries; Benign tumors; Breast cancer; Breast neoplasms; Breast tumors; Frequency; Malignant tumors; Oncological surgery; Radiology; Shape measurement; Statistics;
Conference_Titel :
Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-3905-3
DOI :
10.1109/PACRIM.1997.620429