Özet
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).
Tercüme edilen katkı başlığı | A deep learning based approach for classification of CerbB2 tumor cells in breast cancer |
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Orijinal dil | Türkçe |
Ana bilgisayar yayını başlığı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
Yayınlayan | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Elektronik) | 9781509064946 |
DOI'lar | |
Yayın durumu | Yayınlandı - 27 Haz 2017 |
Etkinlik | 25th Signal Processing and Communications Applications Conference, SIU 2017 - Antalya, Turkey Süre: 15 May 2017 → 18 May 2017 |
Yayın serisi
Adı | 2017 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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???event.eventtypes.event.conference??? | 25th Signal Processing and Communications Applications Conference, SIU 2017 |
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Ülke/Bölge | Turkey |
Şehir | Antalya |
Periyot | 15/05/17 → 18/05/17 |
Bibliyografik not
Publisher Copyright:© 2017 IEEE.
Keywords
- CerbB2 marker
- Convolutional Neural Networks (CNN)
- classification
- score
- tumor