Classification the axillary lymph node status of breast cancer patients with the analysis of pattern recognition Meme kanseri̇ hastalarinin koltuk alti lenf nod durumunun Örüntü tanima anali̇z tekni̇kleri̇ i̇le siniflandirilmasi

Karakiş R., Tez M., GÜLER İ.

2011 IEEE 19th Signal Processing and Communications Applications Conference, SIU 2011, Antalya, Turkey, 20 - 22 April 2011, pp.988-991 identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/siu.2011.5929823
  • City: Antalya
  • Country: Turkey
  • Page Numbers: pp.988-991


Today one of the prevalent cancer types we come across in women is breast cancer. The determining whether cancer spread axillary lymph nodes or not is very important in staging and determining treatment of breast cancer disease. In this study, clinic and pathologic data of 270 breast cancer patients applied to Ankara Numune Educational and Research Hospital, Ankara Oncology Educational and Research Hospital were used and classified with pattern recognition analysis methods such as multi layer perceptron(MLP), support vector machines(SVM), linear discriminant analysis(LDA), k-nearest neighbour classifier(k-NN). The MLP classifier was obtained the correlation coefficient and the accuracy value of testing dataset as 0.872 and 94.4% respectively. © 2011 IEEE.