DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE

H. Selcuk NOGAY

Makale detayları

DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE

Yazarlar:

H. Selcuk NOGAY

Yayıncı:

İstanbul Technical University

Dergi:

The Journal of Cognitive Systems 2017 Vol.2 Issue 2, pp.33-36

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000664907

Sıklık:

İki Yıllık

pISSN:

2548-0650

Özet:

 

Regardless of the type of cancer, the treatment
process starts after the staging process. The treatment method to be applied to
the cancer patient depends on the stage of the disease. Therefore, all studies
on the staging of cancer types have a big precaution. In this study, deep
convolutional neural networks (DCNN) were used for staging of lung cancer. The
TNM classification system is considered for staging. According to TNM, there
are nine tumor stages in lung cancer. In the study, 200 data for each stage of
lung cancer and 1800 MR images for 9 stages in total were used. As a result, a
classification of 99.8% accuracy was performed in order to stage lung cancer
with the proposed DCNN model.

Makale detayları

DEEP CONVOLUTIONAL NEURAL NETWORKS TO DETECT LUNG CANCER STAGE

Yazarlar: H. Selcuk NOGAY

Yayıncı: İstanbul Technical University

Dergi: The Journal of Cognitive Systems 2017 Vol.2 Issue 2, pp.33-36

Belge Tipi: Makale

Yayın Tarihi: 11/2017

Belge Dili: İngilizce

Document ID (Org No.): 2000664907

Sıklık: İki Yıllık

pISSN: 2548-0650

Sayı

Yazarlar:

H. Selcuk NOGAY

Yayıncı:

İstanbul Technical University

Dergi:

The Journal of Cognitive Systems 2017 Vol.2 Issue 2, pp.33-36

Belge Tipi:

Makale

Yayın Tarihi:

11/2017

Belge Dili:

İngilizce

Document ID (Org No.):

2000664907

Sıklık:

İki Yıllık

pISSN:

2548-0650