Comparison of Breast Cancer and Skin Cancer Diagnoses Using Deep Learning Method

dc.authorscopusid 57224087533
dc.contributor.author Bilgic, Burcu
dc.contributor.other Department of Electrical & Electronics Engineering
dc.date.accessioned 2024-07-05T15:18:41Z
dc.date.available 2024-07-05T15:18:41Z
dc.date.issued 2021
dc.department Atılım University en_US
dc.department-temp [Bilgic, Burcu] Atilim Univ, Elekt & Elekt Muhendisligi, TR-06830 Ankara, Turkey en_US
dc.description.abstract 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. en_US
dc.identifier.citationcount 2
dc.identifier.doi 10.1109/SIU53274.2021.9477992
dc.identifier.isbn 9781665436496
dc.identifier.scopus 2-s2.0-85111452332
dc.identifier.uri https://doi.org/10.1109/SIU53274.2021.9477992
dc.identifier.uri https://hdl.handle.net/20.500.14411/1890
dc.identifier.wos WOS:000808100700233
dc.institutionauthor Bilgiç, Burcu
dc.language.iso tr en_US
dc.publisher Ieee en_US
dc.relation.ispartof 29th IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUN 09-11, 2021 -- ELECTR NETWORK en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 20
dc.subject deep learning in cancer diagnosis en_US
dc.subject breast cancer en_US
dc.subject skin cancer en_US
dc.subject benign and malignant classification en_US
dc.title Comparison of Breast Cancer and Skin Cancer Diagnoses Using Deep Learning Method en_US
dc.type Conference Object en_US
dc.wos.citedbyCount 3
dspace.entity.type Publication
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