Bilgiç, Burcu

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https://hdl.handle.net/20.500.14411/7812
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Bilgic Ucak, Burcu
Burcu, Bilgiç
Bilgic, Burcu
B., Burcu
B.,Burcu
B., Bilgic
B.,Bilgic
Bilgic,B.
B.,Bilgiç
Burcu, Bilgic
Bilgiç, Burcu
Bilgiç,B.
Job Title
Araştırma Görevlisi
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bilgic.burcu@atilim.edu.tr
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Department of Electrical & Electronics Engineering
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Former Staff
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29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK1
Journal of Applied Statistics1
Sustainability1
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Author: Bilgic, BurcuSubject: breast cancer

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    Conference Object
    Citation - WoS: 3
    Citation - Scopus: 20
    Comparison of Breast Cancer and Skin Cancer Diagnoses Using Deep Learning Method
    (Ieee, 2021) Bilgic, Burcu
    Artificial intelligence applications are of great importance in the solution of cancer, which is one of the biggest health problems of our age. In this study, a study was conducted on deep learning methods that make life important in the early diagnosis of breast cancer and skin cancer, which are among the most common types of cancer worldwide. Breast cancer and skin cancer data were classified as benign and malignant by deep learning methods. While working with the deep learning method, the classification was made using the Convolutional Neural Network (CNN) algorithm. In this classification, the data are divided into benign cancer sets and malignant cancer sets. Finally, the data provided by the logistic regression method were analyzed and success charts were created and both types were compared. As a result, accuracy and loss graphs of both cancer types were formed. The aim of the study is to compare breast cancer and skin cancer with the deep learning method. And some breast cancer and skin cancer diagnoses are confused. In further studies, the basis of differentiating the diagnosis of these two types of cancer from each other was made in this study.