A deep learning based approach for classification of CerbB2 tumor cells in breast cancer Meme Kanserinde CerbB2 Tümör Hücrelerinin Siniflandirilmasi için Derin Öǧrenme Tabanli Bir Yaklaşim

Tataroglu G. A., Genc A., Kabakci K. A., Çapar A., Töreyin B. U., Ekenel H. K., ...More

25th Signal Processing and Communications Applications Conference, SIU 2017, Antalya, Turkey, 15 - 18 May 2017 identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2017.7960587
  • City: Antalya
  • Country: Turkey
  • Keywords: CerbB2 marker, classification, Convolutional Neural Networks (CNN), score, tumor
  • Istanbul Medipol University Affiliated: Yes

Abstract

This study proposes a unique approach to classify CerbB2 tumor cell scores in breast cancer based on deep learning models. Another contribution of the study is the creation of a dataset from original breast cancer tissues. On the purpose of training, validating and testing with deep learning models cell fragments were generated from sample tissue images. CerbB2 tumor scores were generated for the cell fragments were classified with high performance by the aid of convolutional neural networks (CNN).