Determination Of Breast Cancer Using ANN

This study was performed according to data that was obtained from the Wisconsin Diagnosis Breast Cancer Database (WDBC)[7] Datas were clump thickness, uniformity of cell size, uniformity of cell shape, marginal adhesion , single epithelial cell size, bare nuclei ,bland chromatin, normal nucleoli and mitoses.[5]Evaluating the values that were obtained from the database and the resualts that were reached by using artificial neural networks we suggest that the differential diagnosis of malignant or benign mass could be proposed. As a result, this study may help finding out new processes at the mass determination for future studies.