Predicting breast cancer in fine needle aspiration images using machine learning
| dc.contributor.author | Al-Sammarraie, Luay Hani Abbas | |
| dc.contributor.author | Ibrahim, Abdullahi Abdu | |
| dc.date.accessioned | 2021-05-15T12:49:33Z | |
| dc.date.available | 2021-05-15T12:49:33Z | |
| dc.date.issued | 2020 | |
| dc.department | Mühendislik ve Doğa Bilimleri Fakültesi, Bilişim Teknolojileri Bölümü | en_US |
| dc.description | 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 -- 22 October 2020 through 24 October 2020 -- -- 165025 | |
| dc.description.abstract | Breast cancer is the second leading cause of cancer death in women in the world. Statistics show that 1, 152, 161 new cases of breast cancer are found worldwide; and with 411, 093 deaths It has been shown that early diagnosis of breast cancer increases the probability of a complete recovery and reduces the mortality of patients suffering from this cancer [1] Cancer is the mutation of genes responsible for cell replication and the regulation of cell growth. These genes are found in the nucleus of cells and act as a control to turn different cells on or off so that old cells die while new ones take over. When a mutation occurs, these cells do not die and begin to divide uncontrollably, creating tumors in this work we have designed and implemented a system whose main purpose is to detect the existence of breast cancer lumps in fine needle aspiration images. We use a clustering and a feature extraction method such as CNN and then we use a classification method to detect the cancer. Early detection of breast cancer is essential to increase patient survival © 2020 IEEE. | en_US |
| dc.identifier.doi | 10.1109/ISMSIT50672.2020.9254891 | |
| dc.identifier.isbn | 9781728190907 | |
| dc.identifier.scopus | 2-s2.0-85097662949 | |
| dc.identifier.scopusquality | N/A | |
| dc.identifier.uri | https://doi.org/10.1109/ISMSIT50672.2020.9254891 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.12939/1055 | |
| dc.indekslendigikaynak | Scopus | |
| dc.institutionauthor | Al-Sammarraie, Luay Hani Abbas | |
| dc.institutionauthor | Ibrahim, Abdullahi Abdu | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.relation.ispartof | 4th International Symposium on Multidisciplinary Studies and Innovative Technologies, ISMSIT 2020 - Proceedings | |
| dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | Breast Cancer | en_US |
| dc.subject | CNN | en_US |
| dc.subject | Fine Needle Aspiration | en_US |
| dc.subject | Machine Learning | en_US |
| dc.title | Predicting breast cancer in fine needle aspiration images using machine learning | |
| dc.type | Conference Object |
