The image recognition of lung cancer cells based on rough set theory
Guangming Zhang · Journal of Nanjing University of Technology · 2007
Recognizing lung cancer cells at the early stage is a difficult problem in the field of image process and pattern recognition.And feature selection of lung cancer cells is also difficult to handle.Each feature of lung cancer cells was selected by the effect degree to the lower and upper approximation set.And according to the reduce result of feature selection,diagnose of lung cancer cells on the basis of approximation rough set theory was adopted.Lower approximation set of each type of cancer increases the accuracy of recognition,and upper approximation set can decrease the undetected symptom rate.The results of simulation show this method is feasible and effective.