A strategy of medical image database classification based on discernibility matrix and PSVM
Yan Chen · Journal of Xi'an University of Post and Telecommunications · 2009
In this paper,an algorithm of attribute reduction based on discernibility matrix and a proximal support vector machine(PSVM) is integrated and used to implement a classification of medical image database.The attribute reduction algorithm is used to reduce useless and interfering attributes of medical images,and the PSVM is applied to classify the medical images as normal and abnormal class.The PSVM not only runs faster than standard support vector machine classifiers,but also is easy to implement with satisfactory result for lower hardware.It is proved by experiments that our strategy do have some good features such as simpleness,speediness and high efficiency.