Noğay H. S. , Akıncı T. Ç.
BALKAN JOURNAL OF ELECTRICAL & COMPUTER ENGINEERING, cilt.6, ss.207-210, 2018 (Diğer Kurumların Hakemli Dergileri)
BALKAN JOURNAL OF ELECTRICAL & COMPUTER ENGINEERING
cell carcinoma, one of the most common types of lung cancer types, usually
occurs in the middle, right or left bronchi. Squamous cell carcinoma can be
easily detected by imaging methods to determine the location within the
lung. However, rarely the location of
some tumor types cannot be determined. In this case, it may be delayed to obtain the results of
the assay such as biopsy. This possible delay also means delayed diagnosis and
delayed start of treatment. In order to solve this problem, it is possible to
perform applications with machine learning methods. In this study,
convolutional neural networks method was used to determine the location of
cancerous tumor in squamous cell carcinoma of lung. With the designed convolutional neural network model,
squamous cell carcinoma tumor location in lung cancer was estimated with an
accuracy rate close to 100%.