论文信息 - Neural Network Technology applied in the Diagnosis of Ovarian Tumors

Neural Network Technology applied in the Diagnosis of Ovarian Tumors

The original ovarian cells from ascites are preprocessed and samples are gained in the paper, .Features parameters of morphology are extracted from images of cells samples.The images of cells samples are recognized and classified by Multilayer Perceptron Neural Network and Radial Basis Function Neural Network.Several arithmetics of MLPNN and RBFNN are discussed,and cross entropy arithmetic are suggested.Among the recognized results,the recognition rate and classification of RBFNN and MLPNN with BP arithmetic based on adaptive are the best one.

Lihong Bao

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