Balkan Journal of Electrical and Computer Engineering

2147-284X 2147-284X

MUSA YILMAZ

10.17694/bajece.455132

Engineering

Mühendislik

A Convolutional Neural Network Application for Predicting the Locating of Squamous Cell Carcinoma in the Lung

Noğay

H. Selçuk

Akıncı

Tahir Cetin

07 31 2018

6 3 207 210 06 09 2018 08 28 2018

2013

Balkan Journal of Electrical and Computer Engineering

Squamouscell carcinoma, one of the most common types of lung cancer types, usuallyoccurs in the middle, right or left bronchi. Squamous cell carcinoma can beeasily detected by imaging methods to determine the location within thelung.  However, rarely the location ofsome tumor types cannot be determined. In this case, it may be delayed to obtain the results ofthe assay such as biopsy. This possible delay also means delayed diagnosis anddelayed start of treatment. In order to solve this problem, it is possible toperform applications with machine learning methods. In this study,convolutional neural networks method was used to determine the location ofcancerous 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 anaccuracy rate close to 100%.

Convolutional neuran networks squamous cell carcinoma classification estimation accuracy rate

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